US20110180709A1 - Serial-chaining proximity sensors for gesture recognition - Google Patents

Serial-chaining proximity sensors for gesture recognition Download PDF

Info

Publication number
US20110180709A1
US20110180709A1 US13/013,640 US201113013640A US2011180709A1 US 20110180709 A1 US20110180709 A1 US 20110180709A1 US 201113013640 A US201113013640 A US 201113013640A US 2011180709 A1 US2011180709 A1 US 2011180709A1
Authority
US
United States
Prior art keywords
sensor
detector
serial chain
sensors
emitter
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US13/013,640
Inventor
Warren Craddock
David W. Ritter
Philip Golden
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Intersil Americas LLC
Original Assignee
Intersil Americas LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Intersil Americas LLC filed Critical Intersil Americas LLC
Priority to US13/013,640 priority Critical patent/US20110180709A1/en
Assigned to INTERSIL AMERICAS INC. reassignment INTERSIL AMERICAS INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: CRADDOCK, C. WARREN, GOLDEN, PHILIP, RITTER, DAVID W.
Priority to TW100103045A priority patent/TW201203008A/en
Publication of US20110180709A1 publication Critical patent/US20110180709A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/55Specular reflectivity
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00Photometry, e.g. photographic exposure meter
    • G01J1/42Photometry, e.g. photographic exposure meter using electric radiation detectors
    • G01J1/44Electric circuits
    • G01J1/46Electric circuits using a capacitor
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J9/00Measuring optical phase difference; Determining degree of coherence; Measuring optical wavelength
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/02Systems using the reflection of electromagnetic waves other than radio waves
    • G01S17/06Systems determining position data of a target
    • G01S17/08Systems determining position data of a target for measuring distance only
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L31/00Semiconductor devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation; Processes or apparatus specially adapted for the manufacture or treatment thereof or of parts thereof; Details thereof
    • H01L31/08Semiconductor devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation; Processes or apparatus specially adapted for the manufacture or treatment thereof or of parts thereof; Details thereof in which radiation controls flow of current through the device, e.g. photoresistors
    • H01L31/10Semiconductor devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation; Processes or apparatus specially adapted for the manufacture or treatment thereof or of parts thereof; Details thereof in which radiation controls flow of current through the device, e.g. photoresistors characterised by at least one potential-jump barrier or surface barrier, e.g. phototransistors
    • H01L31/101Devices sensitive to infrared, visible or ultraviolet radiation

Definitions

  • FIG. 1 illustrates an exemplary system that detects motion utilizing a serial chain of optical sensors.
  • FIG. 2 illustrates an exemplary topology for a serial chain utilized by a motion detection system.
  • FIG. 3 illustrates an exemplary datagram sent by optical sensors in the serial chain.
  • FIG. 4 illustrates an exemplary methodology for assigning addresses to optical sensors in a motion detection system.
  • FIG. 5 illustrates an exemplary methodology for automatic emitter sharing between optical sensors in a motion detection system.
  • FIG. 6 illustrates an exemplary methodology for automatic time correlation between optical sensors in a motion detection system.
  • FIG. 7 illustrates an exemplary functional block diagram for the architecture of the subject disclosure.
  • a category of monolithic devices is emerging that allows electronic products to sense their environment. These include diverse devices, such as, accelerometers, monolithic gyroscopes, light sensors and imagers.
  • light sensors are one of the simplest and cheapest, allowing their inclusion in multitudes of consumer products, for example, nightlights, cameras, cell phones, laptops etc.
  • light sensors can be employed in a wide variety of applications related to proximity sensing, such as, but not limited to, detecting the presence and/or distance of a user to the product for the purpose of controlling power, displays, or other interface options.
  • Infrared (IR) detectors utilize IR light to detect objects within the sense area of the IR sensor. Moreover, IR light is transmitted by an IR Light emitting diode (LED) emitter, which reflects off of objects in the surrounding area and the reflections are sensed by a detector. Moreover, the detector can be a diode, e.g., a PIN diode, and/or any other type of apparatus that converts IR light into an electric signal. The sensed signal is analyzed to determine whether an object is present in the sense area and/or to detect motion within the sense area. It can be appreciated that although the subject specification is described with respect to IR light, the systems and methods disclosed herein can utilize most any wavelength. As an example, the subject system and/or methodology can be employed for acoustical proximity detection and/or ultrasonic range finding applications.
  • the sensor can be one of multiple proximity sensors arranged on a device to detect motion.
  • multiple sensors can be arranged to detect motion, for example, a gesture on a screen.
  • Each of the multiple sensors that can sense the gesture, for example, at different times at different locations on the screen.
  • Each of the multiple sensors can transmit a sensed signal corresponding to the gesture to be analyzed across a system bus.
  • addresses of the multiple sensors are assigned through dedicated pins.
  • the systems and methods disclosed herein allow for automatic address assignment for multiple sensors without dedicated pins. Through a serial chain of sensors, access to an emitter shared by the sensors can be automatically sequenced and data from the sensors can be automatically time-correlated without involvement of a controller, conserving power because these capabilities can be done in firmware. In contrast, conventional systems waste power because they cannot perform these actions in firmware, and, instead, must invoke substantial processing power of corresponding devices.
  • the word “exemplary” is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects or designs. Rather, use of the word “exemplary” is intended to present concepts in a concrete fashion.
  • the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances.
  • the articles “a” and “an” as used in this application and the appended claims should generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form.
  • the word “coupled” is used herein to mean direct or indirect electrical or mechanical coupling.
  • the terms “sense area,” “vision field,” “optical field,” and similar terminology are utilized interchangeably in the subject application, unless context warrants particular distinction(s) among the terms.
  • the terms “sensor,” “detector,” and similar terminology are utilized interchangeably in the subject application, unless context warrants particular distinction(s) among the terms.
  • the optical sensors 102 can include one or more proximity sensors.
  • the optical sensors 102 can include one or more infrared sensors (e.g., photodiodes, such as tuned positive-intrinsic-negative (PIN) diodes).
  • the optical sensors 102 can include any sensors that can convert a light signal to an electric signal.
  • the optical sensors 102 are not limited to utilizing IR light, and, instead, can be any sensor, detector, or combination of sensors and detectors that can utilize light signals of most any wavelength.
  • three optical sensors 102 are shown for simplicity in system 100 , a system can employ more optical sensors 102 or fewer optical sensors 102 . It can be appreciated that the optical sensors 102 can be an array of optical sensors 102 .
  • system 100 can be employed in most any light sensing/optical proximity application.
  • a laptop computer can detect a gesture (e.g., a tap or a swipe) on a track pad utilizing optical sensors arbitrarily arranged on the track pad.
  • a cellular phone or a personal digital assistant (PDA) can detect a gesture (e.g., a tap or a swipe) on a screen utilizing optical sensors arbitrarily arranged on the screen.
  • PDA personal digital assistant
  • the optical sensors 102 can be coupled to a signal processing circuit 104 to transmit sensed outputs 106 , 108 , 110 .
  • the sensed outputs 106 , 108 , 110 are electrical signals corresponding to sensed light. These electrical signals can vary over time.
  • the signal processing circuit 104 can analyze the sensed outputs 106 , 108 , 110 and determine whether an object 112 is present in the sense area and/or to detect motion by the object 112 within the sense area.
  • the object 112 can be most any entity of interest, such as, but not limited to, a human entity, an automated component, a device, an item, an animal, etc.
  • signal processing circuit 104 can be embedded on a single integrated circuit (IC) chip (e.g., a microcontroller). However, the signal processing circuit 104 need not be embedded on a single IC chip, and, instead, components of the signal processing circuit 104 can be distributed among several IC chips.
  • the sensed outputs 106 , 108 , 110 can be transmitted to the signal processing circuit 104 via a bus 114 (e.g. a serial bus, such as an Inter Integrated Circuit (“I 2 C”) bus).
  • I 2 C Inter Integrated Circuit
  • the bus 114 can be an I 2 C bus.
  • the I 2 C bus includes two wires: a clock line and a data line.
  • the clock line can synchronize data transfers across the I 2 C bus.
  • the clock line and the data line are connected to each optical sensor 102 on the I 2 C bus.
  • the signal processing circuit 104 a master on the I 2 C bus to the optical sensors 102 , which are slaves.
  • the master signal processing circuit 104 drives the clock line.
  • the slave optical sensors 102 are unable to initiate transmission or data (e.g. sensed outputs 106 , 108 , 110 ). Instead, data transmission from the slave optical sensors 102 is controlled by the master signal processing circuit 104 and can only begin when initiated by the master signal processing circuit 104 .
  • each optical sensor 102 requires a unique address on the bus (for example, the address can be an I 2 C address) for data transfer to take place.
  • the address can be a seven bit address.
  • addresses are assigned by hardware on the signal processing circuit 104 .
  • the addresses can be assigned according to dedicated hardware (e.g., dedicated pins).
  • System 100 in contrast, can automatically assign addresses (e.g., I 2 C addresses) to each optical sensor 102 without requiring dedicated hardware.
  • System 100 does not require involvement by the signal processing circuit 104 to assign addresses to the optical sensors 102 .
  • system 100 configures the sensors 102 in accordance with a serial chain.
  • the serial chain can be a daisy chain.
  • the serial chain can be utilized to automatically assign unique addresses to each optical sensor 102 . This eliminates the need for the signal processor 104 to be involved with assigning addresses. Eliminating the need for the signal processor 104 to be involved with assigning addresses can conserve power, allowing system 100 to be implemented on a low power a microcontroller.
  • serial chain 200 employed by a motion detection system.
  • the serial chain 200 can be implemented within system 100 as described above.
  • serial chain 200 can be constructed between many more optical sensors 102 .
  • serial chain 200 can be constructed between more than 255 optical sensors 102 .
  • the number of optical sensors 102 supported by serial chain 200 can be limited only by capabilities of the serial bus.
  • Serial chain 200 can be utilized to automatically assign addresses (e.g., I 2 C addresses) to each optical sensor 102 a , 102 b , and 102 c on the serial chain 200 .
  • Optical sensors 102 can include a digital input 202 a , 202 b , 202 c and a digital output 204 a , 204 b , 204 c , which are utilized to construct serial chain 200 between the optical sensors 102 a , 102 b , 102 c .
  • the digital input 202 a , 202 b , 202 c can be an ENABLE (“EN”) pin and the digital output 204 a , 204 b , 204 c can be an INT pin.
  • ENABLE pin and the INT pin can have other purposes including enabling/disabling the associated device and/or signaling an interrupt based on an activity in at least one sensor's 102 sense area.
  • Serial chain 200 can be utilized to relay ENABLE input from a first optical sensor to one or more other optical sensors, thereby preserving ENABLE functionality. Additionally, serial chain 200 can relay INT output from one or more optical sensors to a last optical sensor on the serial chain 200 , thereby preserving INT functionality. It is noted that sensors 102 a , 102 b , 102 c can have additional and/or different pins that are not illustrated for the sake of simplicity.
  • Serial chain 200 is a unidirectional interface between the output of a first optical sensor and the input of a second optical sensor.
  • Serial chain 200 can transmit one or more datagrams of specific format from the first optical sensor to the second optical sensor.
  • output 204 c from optical sensor 102 a can be connected to input 202 b of sensor 102 b .
  • Output 204 b from optical sensor 102 b can be connected to input 202 c of sensor 102 c .
  • Serial chain 200 can automatically sequence access to a single, shared emitter (not shown), like a light emitting diode (LED), without involvement from a controller 206 (e.g., a microcontroller).
  • a controller 206 e.g., a microcontroller
  • Serial chain 200 can be asynchronous and/or self-clocking, allowing serial chain 200 to automatically time-correlate data from the optical sensors 102 a , 102 b , 102 c .
  • One example of a self clocking methodology employed by sensors 102 a , 102 b , 102 c in the serial chain 200 is Manchester coding.
  • Manchester coding also known as Phase Encoding, can encode data from one or more of sensors 102 a , 102 b , 102 c with a clock signal that can be recovered from the encoded data.
  • each of the optical sensors 102 a , 102 b , 102 c can include a four-sample first-in-first-out (FIFO) that can operate in a “peak detect” mode to store a time and a magnitude of peaks in magnitude of an electrical signal.
  • FIFO first-in-first-out
  • the peaks in magnitude can correspond to a gesture.
  • the magnitude value for the peak and a time code can be pushed into the FIFO.
  • the time code can be the last Sequence Value received over the serial chain 200 . Accordingly, time can be sub-divided into 8 millisecond periods, each labeled with a unique 8-bit code.
  • the unique 8-bit code can be agreed upon by all sensors 102 a , 102 b , 102 c within the serial chain 200 .
  • An interrupt can be sent to a microcontroller indicating the peaks.
  • the microcontroller can read the peaks (magnitude values and time code pairs) from each sensor and reconstruct the gesture associated with the peak in magnitude at times corresponding to the peaks.
  • the first sensor is responsible for sending datagrams with appropriate time codes down the serial chain.
  • the first sensor can include a register that stores the number of sensors in the serial chain for this purpose.
  • All of the behaviors are automatic and do not require any interaction with the microcontroller.
  • the device e.g., laptop, control panel, cellular phone, etc.
  • the device associated with motion sensing system 100 can remain in its lowest power mode until a gesture occurs.
  • a datagram 300 that can be utilized by a serial chain in a motion detection system.
  • one or more optical sensors can transmit datagrams (e.g., packets) formatted in accordance with datagram 300 through serial chain 200 .
  • a datagram is a basic transfer unit in which the delivery arrival time and order of packets of data (e.g., from different sources) are not guaranteed.
  • Datagram 300 can be formatted in a specific manner for transmission between sensors.
  • datagram 300 can be formatted with four distinct fields: Sequence Value 302 , INT 304 , EN 306 and COMMAND 308 .
  • the Sequence Value 302 field can be an 8-bit field that is incremented by one each time a sensor communicates with the next sensor in the serial chain.
  • the INT 304 field can be a 2-bit field that indicates a status of an interrupt signal from previous sensors. Any optical sensor on the serial chain can send an interrupt that can propagate to the end of the serial chain to the controller, depending on register settings.
  • the EN 306 field can be a 1-bit field that can indicate a status of a first sensor's ENABLE pin. The enable signal from the first device in the serial chain can, depending on register settings, propagate through the entire serial chain.
  • the COMMAND 308 field can be a 2-bit field containing a command being transmitted.
  • the value of the COMMAND 308 field can be, for example, 00, indicating that the Sequence Value should be used as an address offset or 01, indicating that the Sequence Value should be used as a time code for time correlation.
  • Other vales for the COMMAND 308 field can exist.
  • methodology 400 for automatic address assignment in a motion detection system can address one or more optical sensors in the motion detection system via a serial chain. Unlike conventional addressing methodologies, methodology 400 does not utilize dedicated pins. Accordingly, this methodology leads to less power consumption than conventional methods for assigning addresses to the optical sensors.
  • the methodology 400 begins at element 402 where the sensors are powered up. At power up, INT pins on every sensor are driven low. A first sensor on the serial chain has its ENABLE pin driven high, while the other sensors have their ENABLE pins driven low. At element 404 , the sensors can determine which sensor is the first sensor on the serial chain. For example, each sensor can determine whether it is the first sensor on the serial chain by determining whether it is the sensor with its ENABLE pin driven high.
  • the methodology moves to element 406 .
  • the first sensor can send a datagram (e.g., a datagram in accordance with datagram 300 as described above) to the next sensor (e.g., a second sensor) on the serial chain.
  • the datagram can be configured with a COMMAND field sent to 00, indicating that a Sequence Value should be used as an address offset, and the Sequence Value set to 1.
  • the second sensor can receive the datagram from the first sensor and set its address (e.g., I 2 C address) with the given address offset from the Sequence Value.
  • the second sensor can increment the sequence value (e.g. the Sequence Value can be set to 2, indicating that a sensor has communicated twice with the next sensor on the serial chain).
  • the second sensor can send the datagram to the next sensor (third sensor on the serial chain).
  • an exemplary methodology 500 for automatic emitter (e.g., LED) sharing between optical sensors of a motion control system For example, access to the shared emitter by the optical sensors can be facilitated through automatic sequencing of the access to the shared emitter.
  • automatic emitter e.g., LED
  • the methodology 500 begins at element 502 , where all sensors on a serial chain are configured to share an emitter.
  • the sensors can be configured to share the emitter through a register map.
  • a first sensor is able to drive the emitter.
  • the first sensor can drive the emitter through an assigned pin (such as an IRDR pin, not illustrated).
  • the first sensor can drive the emitter, for example, for 128 samples, each 62.5 microseconds long, for a total of 8 milliseconds.
  • the first sensor After driving the emitter for a certain time (e.g., 8 milliseconds), at element 506 the first sensor stops driving the emitter. For example, the first sensor can turn off its assigned pin. At element 508 , the first sensor sends a datagram (e.g., a datagram 300 as defined in FIG. 3 ) to a next sensor. At element 510 , the next sensor can drive the emitter for a certain time (e.g., 8 milliseconds). This methodology can repeat until all sensors on the serial chain have an opportunity to drive the emitter.
  • a certain time e.g. 8 milliseconds
  • FIG. 6 illustrated is an exemplary methodology 600 for automatic time correlation between optical sensors in a motion control system. This time correlation can be done in firmware. Accordingly, this methodology leads to greater power savings when compared to conventional methodologies.
  • Methodology 600 begins at element 602 , where sensors are configured to store a time and a magnitude of peaks in magnitude of an electrical signal.
  • Each of the sensors can include a four-sample first-in-first-out (FIFO) that can be configured to operate in a “peak detect” mode, where the FIFO can store the time and magnitude of peaks in magnitude.
  • FIFO first-in-first-out
  • a peak in magnitude can be detected when a user's hand makes its closest approach to the optical sensor (e.g., when making a gesture).
  • a sensor can detect a peak.
  • the magnitude value for the peak and a time code can be pushed into the FIFO.
  • the time code can be the last Sequence Value received over the serial chain. Accordingly, time can be sub-divided into 8 millisecond periods, each labeled with a unique 8-bit code.
  • the unique 8-bit code can be agreed upon by all sensors within the serial chain.
  • an interrupt can be sent to a microcontroller.
  • the microcontroller can read the peaks (magnitude values and time code pairs) from each sensor and reconstruct the gesture associated with the peak in magnitude.
  • FIG. 7 illustrates an exemplary functional block diagram for the architecture 700 of the subject disclosure.
  • the systems e.g., 100-200
  • the systems e.g., 100-200
  • ALS ambient light sensor
  • the architecture 700 includes one or more LEDs and associated driver circuitry, one or more photodiode sensors (arranged in a serial chain, for example the serial chain as illustrated in FIG. 2 ), an analog front end and signal processing (e.g., of signals from the photodiodes arranged in the serial chain, for example elements 106 , 108 , 110 as illustrated in FIG.
  • analog front end and signal processing e.g., of signals from the photodiodes arranged in the serial chain, for example elements 106 , 108 , 110 as illustrated in FIG.
  • the architecture 700 adaptively optimizes sensitivity and power for a given environment. Moreover, the architecture 700 derives significant performance improvements from its novel ALS structure, and its light emitting diode (LED) driver circuitry is much more efficient than the conventional resistive drive.
  • LED light emitting diode
  • the architecture 700 includes a Resonant Front End 702 , which includes a Trans-Impedance Resonator (TIR).
  • TIR 702 is used in place of the Trans-Inductance Amplifier (TIA), which is conventionally used.
  • TIA can also be employed in signal processing applications of signals received from the serial chained photodiodes (e.g., signals 106 , 108 , 110 as described above.).
  • the TIR 702 plays the same role as a conventional TIA, the TIR 702 gives an order of magnitude improvement in achievable Signal-to-Noise-Ratio (SNR) due to its band-pass nature (e.g., TIR 702 includes an inductor and a capacitor), which allows for an increased range of sensing.
  • the capacitor of the TIR can include the capacitance of the photodiode that is being resonated.
  • the band-pass nature of the TIR 702 causes the architecture 700 to operate over a narrow band of frequencies, which allows for little noise compared to the wide band TIA.
  • the ALS 710 uses a light to frequency converter based on a relaxation oscillator instead of the conventional TIA.
  • a relaxation oscillator is an oscillator based upon the relaxation behavior of a physical system.
  • An exemplary implementation for the relaxation oscillator of the subject disclosure can be done by connecting the inverting input of an Operational Amplifier (Op Amp) to a fixed bias voltage via a switch and also the photodiode, with the non-inverting input connected to ground. When the switch to the fixed bias voltage is opened, the photodiode will discharge towards ground. The rate of discharge will depend on the photodiode current, which is a measure of the incident ambient light.
  • Operational Amp Operational Amplifier
  • the Computer Programmable Logic Device When the photodiode is discharged to ground, the Computer Programmable Logic Device (CPLD) resets the oscillator by switching back in the bias voltage.
  • the CPLD counts the number of cycles that the photodiode takes to discharge, and thus can estimate the ambient light intensity incident on the photodiode.
  • the ALS 710 can be used for ambient light sensing applications and the TIR 702 can be used for proximity and motion sensing applications.
  • the output of the Front end 702 is subjected to multiple stages of voltage gain 716 to maximize the SNR of the output signal.
  • the voltage gain is adaptively set based on the magnitude of the signal received from the Front end 702 , which is potentially made up of both measureable interferers such as a backscatter and a crosstalk from the LED, and also the desired signal to be measured.
  • the interferers are dynamically calibrated out of the measurement to improve the sensitivity.
  • the LED drive circuitry 756 uses an inductive drive, which results in a significant efficiency improvement over the conventional resistive drive.
  • the architecture 700 also includes a Quad Demodulator with low pass filters (LPFs) 720 , dual [I & Q] Analog to Digital Converters (ADCs) 726 , Digital to Analog Converters (DACs) 730 driven by the bias voltage provided by the Automatic Gain Control module, Oscillator DACs 744 for 1 and Q carriers, the Universal Serial Bus (USB) processor for Control Interface, and the Computer Programmable Logic Device (CPLD) that include several modules.
  • the CPLD is merely exemplary. One or more different parts can be employed in lieu of a CPLD. For example, one or more Application Specific IC(s), a digital signal processor and memory.
  • the I and Q relate to In-Phase and Quadrature demodulation components.
  • QAM is both an analog and a digital modulation scheme.
  • QAM is a modulation scheme in which two sinusoidal carriers, one exactly 90 degrees out of phase with respect to the other, are used to transmit data over a given physical channel. Since the orthogonal carriers occupy the same frequency band and differ by a 90 degree phase shift, each can be modulated independently, transmitted over the same frequency band, and separated by demodulation at the receiver.
  • PAM pulse amplitude modulation
  • a numerically controlled oscillator can be employed to design a dual-output oscillator that accurately generates the in-phase and quadrature carriers used by a QAM modulator and/or demodulator.
  • a filter for example, a raised cosine finite impulse response (FIR) filter can be utilized to filter the data streams before modulation onto the quadrature carriers.
  • FIR raised cosine finite impulse response
  • the in-phase and quadrature demodulated components are created by multiplying the signal by both a carrier signal, and also a signal 90 degrees out of phase of that carrier, and low pass filtering the result ( 720 in FIG. 7 ).
  • the resultant I and Q are a baseband representation of the received signal.
  • the phase of the derivative of I and Q channels can be obtained, which is indicative of the distance of the target to be calculated. Further, the position of a moving object can be accurately identified based on the phase data.
  • the resultant phase information can be used as a direct output of the system as a measure of distance/position, and/or can be used to reconstruct the static component of the signal and allow the calibration of a non-derivative time of flight (TOF) measurement.
  • TOF time of flight
  • the architecture 700 of the subject disclosure can be used in many applications including computers, automotive, industrial, television displays and others.
  • the architecture 700 can be used to detect that a user has entered the room and automatically cause a laptop computer in hibernation mode to wake up and enter into the active mode so that the user can use it.
  • the architecture 700 of the subject disclosure can be used to automatically and adaptively adjust the intensity of a liquid crystal display (LCD) based on the ambient lighting conditions.
  • the architecture 700 can perform motion and proximity sensing at a range of up to 1-2 meters.
  • the architecture 700 of the subject disclosure can perform its operations by using less than twenty milli-watts (mW) of power.
  • mW milli-watts
  • the entire architecture 700 can be implemented in a single integrated circuit chip (IC).
  • all components of the architecture 700 can be implemented in the IC except for the two inductors for the TIR 702 and the LED driver circuitry 756 and the LED, which can be implemented outside the IC.
  • all components of the architecture 700 can be implemented in the IC except for the TIR 702 inductor, the LED and the inductor and the resistor for the LED driver circuitry, which can be implemented outside the IC.
  • various components of the architecture 700 can be located inside or outside the IC.
  • the terms (including a reference to a “means”) used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., a functional equivalent), even though not structurally equivalent to the disclosed structure, which performs the function in the herein illustrated exemplary aspects of the claimed subject matter.
  • the disclosure includes a system as well as a computer-readable medium having computer-executable instructions for performing the acts and/or events of the various methods of the claimed subject matter.

Abstract

A system and method for identifying a position of a moving object, utilizing a serial chain of sensors is provided. The serial chain reduces the power needed for the motion detection system, allowing implementation of the motion detection system on a low-power computing device, such as a microcontroller. The serial chain can provide automatic address assignment without dedicated pins. The serial chain can also provide automatic sequencing of access to a shared LED. The serial chain can also provide automatic time correlation of data from multiple sensors in the motion detection system.

Description

    CROSS REFERENCE TO RELATED APPLICATIONS
  • This application claims priority to U.S. Provisional Patent Application Ser. No. 61/298,895, filed on Jan. 27, 2010, and entitled “ARCHITECTURE FOR A REFLECTION BASED LONG RANGE PROXIMITY AND MOTION DETECTOR HAVING AN INTEGRATED AMBIENT LIGHT SENSOR,” the entirety of which is incorporated by reference herein. Further, this application is related to co-pending U.S. patent application Ser. No. 12/979,726, filed on Dec. 28, 2010 (Attorney docket number SE-2773/INTEP105USA), entitled “DISTANCE SENSING BY IQ DOMAIN DIFFERENTIATION OF TIME OF FLIGHT (TOF) MEASUREMENTS,” co-pending U.S. patent application Ser. No. ______, filed on ______ (Attorney docket number SE-2874-AN/INTEP105USB), entitled “DIRECT CURRENT (DC) CORRECTION CIRCUIT FOR A TIME OF FLIGHT (TOF) PHOTODIODE FRONT END”, co-pending U.S. patent application Ser. No. ______, filed on ______ (Attorney docket number SE-2785-AN/INTEP105USC), entitled “PHOTODIODE FRONT END WITH IMPROVED POWER SUPPLY REJECTION RATIO (PSRR),” co-pending U.S. patent application Ser. No. ______, filed on ______ (Attorney docket number SE-2877-AN/INTEP105USD), entitled “AUTOMATIC CALIBRATION TECHNIQUE FOR TIME OF FLIGHT (TOF) TRANSCEIVERS,” and co-pending U.S. patent application Ser. No. ______, filed on ______ (Attorney docket number SE-2878-AN/INTEP105USF), entitled “GESTURE RECOGNITION WITH PRINCIPAL COMPONENT ANALYSIS.” The entireties of each of the foregoing applications are incorporated herein by reference.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 illustrates an exemplary system that detects motion utilizing a serial chain of optical sensors.
  • FIG. 2 illustrates an exemplary topology for a serial chain utilized by a motion detection system.
  • FIG. 3 illustrates an exemplary datagram sent by optical sensors in the serial chain.
  • FIG. 4 illustrates an exemplary methodology for assigning addresses to optical sensors in a motion detection system.
  • FIG. 5 illustrates an exemplary methodology for automatic emitter sharing between optical sensors in a motion detection system.
  • FIG. 6 illustrates an exemplary methodology for automatic time correlation between optical sensors in a motion detection system.
  • FIG. 7 illustrates an exemplary functional block diagram for the architecture of the subject disclosure.
  • DETAILED DESCRIPTION
  • A category of monolithic devices is emerging that allows electronic products to sense their environment. These include diverse devices, such as, accelerometers, monolithic gyroscopes, light sensors and imagers. In particular, light sensors are one of the simplest and cheapest, allowing their inclusion in multitudes of consumer products, for example, nightlights, cameras, cell phones, laptops etc. Typically, light sensors can be employed in a wide variety of applications related to proximity sensing, such as, but not limited to, detecting the presence and/or distance of a user to the product for the purpose of controlling power, displays, or other interface options.
  • Infrared (IR) detectors utilize IR light to detect objects within the sense area of the IR sensor. Moreover, IR light is transmitted by an IR Light emitting diode (LED) emitter, which reflects off of objects in the surrounding area and the reflections are sensed by a detector. Moreover, the detector can be a diode, e.g., a PIN diode, and/or any other type of apparatus that converts IR light into an electric signal. The sensed signal is analyzed to determine whether an object is present in the sense area and/or to detect motion within the sense area. It can be appreciated that although the subject specification is described with respect to IR light, the systems and methods disclosed herein can utilize most any wavelength. As an example, the subject system and/or methodology can be employed for acoustical proximity detection and/or ultrasonic range finding applications.
  • For example, the sensor can be one of multiple proximity sensors arranged on a device to detect motion. In a motion detection system, multiple sensors can be arranged to detect motion, for example, a gesture on a screen. Each of the multiple sensors that can sense the gesture, for example, at different times at different locations on the screen. Each of the multiple sensors can transmit a sensed signal corresponding to the gesture to be analyzed across a system bus. In conventional systems, addresses of the multiple sensors are assigned through dedicated pins. The systems and methods disclosed herein allow for automatic address assignment for multiple sensors without dedicated pins. Through a serial chain of sensors, access to an emitter shared by the sensors can be automatically sequenced and data from the sensors can be automatically time-correlated without involvement of a controller, conserving power because these capabilities can be done in firmware. In contrast, conventional systems waste power because they cannot perform these actions in firmware, and, instead, must invoke substantial processing power of corresponding devices.
  • The subject matter is described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the subject disclosure. It may be evident, however, that the subject matter may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to facilitate describing the subject disclosure. Many modifications may be made to this configuration without departing from the scope or spirit of the claimed subject matter.
  • Moreover, the word “exemplary” is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects or designs. Rather, use of the word “exemplary” is intended to present concepts in a concrete fashion. As used in this application, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. In addition, the articles “a” and “an” as used in this application and the appended claims should generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form. In addition, the word “coupled” is used herein to mean direct or indirect electrical or mechanical coupling. Further, the terms “sense area,” “vision field,” “optical field,” and similar terminology are utilized interchangeably in the subject application, unless context warrants particular distinction(s) among the terms. Moreover, the terms “sensor,” “detector,” and similar terminology are utilized interchangeably in the subject application, unless context warrants particular distinction(s) among the terms.
  • Referring initially to FIG. 1, there illustrated is an example system 100 that employs optical sensors 102 to sense distance, motion and/or ambient light, according to an aspect of the subject specification. For example, the optical sensors 102 can include one or more proximity sensors. In one aspect, the optical sensors 102 can include one or more infrared sensors (e.g., photodiodes, such as tuned positive-intrinsic-negative (PIN) diodes). However, the optical sensors 102 can include any sensors that can convert a light signal to an electric signal. It can be appreciated that the optical sensors 102 are not limited to utilizing IR light, and, instead, can be any sensor, detector, or combination of sensors and detectors that can utilize light signals of most any wavelength. Although three optical sensors 102 are shown for simplicity in system 100, a system can employ more optical sensors 102 or fewer optical sensors 102. It can be appreciated that the optical sensors 102 can be an array of optical sensors 102.
  • In general, system 100 can be employed in most any light sensing/optical proximity application. For example, a laptop computer can detect a gesture (e.g., a tap or a swipe) on a track pad utilizing optical sensors arbitrarily arranged on the track pad. In another example, a cellular phone or a personal digital assistant (PDA) can detect a gesture (e.g., a tap or a swipe) on a screen utilizing optical sensors arbitrarily arranged on the screen.
  • The optical sensors 102 can be coupled to a signal processing circuit 104 to transmit sensed outputs 106, 108, 110. In one aspect the sensed outputs 106, 108, 110 are electrical signals corresponding to sensed light. These electrical signals can vary over time. The signal processing circuit 104 can analyze the sensed outputs 106, 108, 110 and determine whether an object 112 is present in the sense area and/or to detect motion by the object 112 within the sense area. The object 112 can be most any entity of interest, such as, but not limited to, a human entity, an automated component, a device, an item, an animal, etc.
  • According to one aspect, signal processing circuit 104 can be embedded on a single integrated circuit (IC) chip (e.g., a microcontroller). However, the signal processing circuit 104 need not be embedded on a single IC chip, and, instead, components of the signal processing circuit 104 can be distributed among several IC chips. The sensed outputs 106, 108, 110 can be transmitted to the signal processing circuit 104 via a bus 114 (e.g. a serial bus, such as an Inter Integrated Circuit (“I2C”) bus). Although an I2C bus is described herein, it should be understood that the I2C bus is only utilized as an example and the systems and methods described herein can be utilized with any serial bus.
  • According to an aspect, the bus 114 can be an I2C bus. The I2C bus includes two wires: a clock line and a data line. The clock line can synchronize data transfers across the I2C bus. The clock line and the data line are connected to each optical sensor 102 on the I2C bus. The signal processing circuit 104 a master on the I2C bus to the optical sensors 102, which are slaves. The master signal processing circuit 104 drives the clock line. The slave optical sensors 102 are unable to initiate transmission or data (e.g. sensed outputs 106, 108, 110). Instead, data transmission from the slave optical sensors 102 is controlled by the master signal processing circuit 104 and can only begin when initiated by the master signal processing circuit 104.
  • In order to communicate across the bus, each optical sensor 102 requires a unique address on the bus (for example, the address can be an I2C address) for data transfer to take place. For example, the address can be a seven bit address. In some conventional systems, addresses are assigned by hardware on the signal processing circuit 104. For example, the addresses can be assigned according to dedicated hardware (e.g., dedicated pins).
  • System 100, in contrast, can automatically assign addresses (e.g., I2C addresses) to each optical sensor 102 without requiring dedicated hardware. System 100 does not require involvement by the signal processing circuit 104 to assign addresses to the optical sensors 102. Instead, system 100 configures the sensors 102 in accordance with a serial chain. For example, the serial chain can be a daisy chain.
  • The serial chain can be utilized to automatically assign unique addresses to each optical sensor 102. This eliminates the need for the signal processor 104 to be involved with assigning addresses. Eliminating the need for the signal processor 104 to be involved with assigning addresses can conserve power, allowing system 100 to be implemented on a low power a microcontroller.
  • Referring now to FIG. 2, illustrated is a topology for a serial chain 200 employed by a motion detection system. For example, the serial chain 200 can be implemented within system 100 as described above. Although only three optical sensors 102 a, 102 b, 102 c are illustrated, serial chain 200 can be constructed between many more optical sensors 102. For example, serial chain 200 can be constructed between more than 255 optical sensors 102. The number of optical sensors 102 supported by serial chain 200 can be limited only by capabilities of the serial bus. Serial chain 200 can be utilized to automatically assign addresses (e.g., I2C addresses) to each optical sensor 102 a, 102 b, and 102 c on the serial chain 200.
  • Optical sensors 102 can include a digital input 202 a, 202 b, 202 c and a digital output 204 a, 204 b, 204 c, which are utilized to construct serial chain 200 between the optical sensors 102 a, 102 b, 102 c. For example, the digital input 202 a, 202 b, 202 c can be an ENABLE (“EN”) pin and the digital output 204 a, 204 b, 204 c can be an INT pin. The ENABLE pin and the INT pin can have other purposes including enabling/disabling the associated device and/or signaling an interrupt based on an activity in at least one sensor's 102 sense area. Serial chain 200 can be utilized to relay ENABLE input from a first optical sensor to one or more other optical sensors, thereby preserving ENABLE functionality. Additionally, serial chain 200 can relay INT output from one or more optical sensors to a last optical sensor on the serial chain 200, thereby preserving INT functionality. It is noted that sensors 102 a, 102 b, 102 c can have additional and/or different pins that are not illustrated for the sake of simplicity.
  • Serial chain 200 is a unidirectional interface between the output of a first optical sensor and the input of a second optical sensor. Serial chain 200 can transmit one or more datagrams of specific format from the first optical sensor to the second optical sensor. For example, output 204 c from optical sensor 102 a can be connected to input 202 b of sensor 102 b. Output 204 b from optical sensor 102 b can be connected to input 202 c of sensor 102 c. Serial chain 200 can automatically sequence access to a single, shared emitter (not shown), like a light emitting diode (LED), without involvement from a controller 206 (e.g., a microcontroller).
  • Serial chain 200 can be asynchronous and/or self-clocking, allowing serial chain 200 to automatically time-correlate data from the optical sensors 102 a, 102 b, 102 c. One example of a self clocking methodology employed by sensors 102 a, 102 b, 102 c in the serial chain 200 is Manchester coding. Manchester coding, also known as Phase Encoding, can encode data from one or more of sensors 102 a, 102 b, 102 c with a clock signal that can be recovered from the encoded data.
  • For example, each of the optical sensors 102 a, 102 b, 102 c can include a four-sample first-in-first-out (FIFO) that can operate in a “peak detect” mode to store a time and a magnitude of peaks in magnitude of an electrical signal. For example, the peaks in magnitude can correspond to a gesture.
  • When a peak is detected, the magnitude value for the peak and a time code can be pushed into the FIFO. The time code can be the last Sequence Value received over the serial chain 200. Accordingly, time can be sub-divided into 8 millisecond periods, each labeled with a unique 8-bit code. The unique 8-bit code can be agreed upon by all sensors 102 a, 102 b, 102 c within the serial chain 200. An interrupt can be sent to a microcontroller indicating the peaks. The microcontroller can read the peaks (magnitude values and time code pairs) from each sensor and reconstruct the gesture associated with the peak in magnitude at times corresponding to the peaks.
  • Since the serial chain is unidirectional, the first sensor is responsible for sending datagrams with appropriate time codes down the serial chain. The first sensor can include a register that stores the number of sensors in the serial chain for this purpose.
  • All of the behaviors (addressing, sequencing access to a shared emitter and time correlation) are automatic and do not require any interaction with the microcontroller. In this way, the device (e.g., laptop, control panel, cellular phone, etc.) associated with motion sensing system 100 can remain in its lowest power mode until a gesture occurs.
  • Referring now to FIG. 3, illustrated is a datagram 300 that can be utilized by a serial chain in a motion detection system. According to an aspect, one or more optical sensors can transmit datagrams (e.g., packets) formatted in accordance with datagram 300 through serial chain 200. A datagram is a basic transfer unit in which the delivery arrival time and order of packets of data (e.g., from different sources) are not guaranteed.
  • Datagram 300 can be formatted in a specific manner for transmission between sensors. For example, datagram 300 can be formatted with four distinct fields: Sequence Value 302, INT 304, EN 306 and COMMAND 308. The Sequence Value 302 field can be an 8-bit field that is incremented by one each time a sensor communicates with the next sensor in the serial chain. The INT 304 field can be a 2-bit field that indicates a status of an interrupt signal from previous sensors. Any optical sensor on the serial chain can send an interrupt that can propagate to the end of the serial chain to the controller, depending on register settings. The EN 306 field can be a 1-bit field that can indicate a status of a first sensor's ENABLE pin. The enable signal from the first device in the serial chain can, depending on register settings, propagate through the entire serial chain.
  • The COMMAND 308 field can be a 2-bit field containing a command being transmitted. For example, the value of the COMMAND 308 field can be, for example, 00, indicating that the Sequence Value should be used as an address offset or 01, indicating that the Sequence Value should be used as a time code for time correlation. Other vales for the COMMAND 308 field can exist.
  • Referring now to FIG. 4, illustrated is an exemplary methodology 400 for automatic address assignment in a motion detection system. The methodology can address one or more optical sensors in the motion detection system via a serial chain. Unlike conventional addressing methodologies, methodology 400 does not utilize dedicated pins. Accordingly, this methodology leads to less power consumption than conventional methods for assigning addresses to the optical sensors.
  • The methodology 400 begins at element 402 where the sensors are powered up. At power up, INT pins on every sensor are driven low. A first sensor on the serial chain has its ENABLE pin driven high, while the other sensors have their ENABLE pins driven low. At element 404, the sensors can determine which sensor is the first sensor on the serial chain. For example, each sensor can determine whether it is the first sensor on the serial chain by determining whether it is the sensor with its ENABLE pin driven high.
  • After the power-on process (or power-on-reset process) of 402 and 404 completes, the methodology moves to element 406. At element 406, the first sensor can send a datagram (e.g., a datagram in accordance with datagram 300 as described above) to the next sensor (e.g., a second sensor) on the serial chain. For example, the datagram can be configured with a COMMAND field sent to 00, indicating that a Sequence Value should be used as an address offset, and the Sequence Value set to 1.
  • At element 408, the second sensor can receive the datagram from the first sensor and set its address (e.g., I2C address) with the given address offset from the Sequence Value. At element 410, the second sensor can increment the sequence value (e.g. the Sequence Value can be set to 2, indicating that a sensor has communicated twice with the next sensor on the serial chain). At element 412, the second sensor can send the datagram to the next sensor (third sensor on the serial chain).
  • Referring now to FIG. 5, illustrated is an exemplary methodology 500 for automatic emitter (e.g., LED) sharing between optical sensors of a motion control system. For example, access to the shared emitter by the optical sensors can be facilitated through automatic sequencing of the access to the shared emitter.
  • The methodology 500 begins at element 502, where all sensors on a serial chain are configured to share an emitter. For example, the sensors can be configured to share the emitter through a register map. At element 504, a first sensor is able to drive the emitter. For example, the first sensor can drive the emitter through an assigned pin (such as an IRDR pin, not illustrated). The first sensor can drive the emitter, for example, for 128 samples, each 62.5 microseconds long, for a total of 8 milliseconds.
  • After driving the emitter for a certain time (e.g., 8 milliseconds), at element 506 the first sensor stops driving the emitter. For example, the first sensor can turn off its assigned pin. At element 508, the first sensor sends a datagram (e.g., a datagram 300 as defined in FIG. 3) to a next sensor. At element 510, the next sensor can drive the emitter for a certain time (e.g., 8 milliseconds). This methodology can repeat until all sensors on the serial chain have an opportunity to drive the emitter.
  • Referring now to FIG. 6, illustrated is an exemplary methodology 600 for automatic time correlation between optical sensors in a motion control system. This time correlation can be done in firmware. Accordingly, this methodology leads to greater power savings when compared to conventional methodologies.
  • Methodology 600 begins at element 602, where sensors are configured to store a time and a magnitude of peaks in magnitude of an electrical signal. Each of the sensors can include a four-sample first-in-first-out (FIFO) that can be configured to operate in a “peak detect” mode, where the FIFO can store the time and magnitude of peaks in magnitude. For example, a peak in magnitude can be detected when a user's hand makes its closest approach to the optical sensor (e.g., when making a gesture).
  • At element 604, a sensor can detect a peak. When a peak is detected, the magnitude value for the peak and a time code can be pushed into the FIFO. The time code can be the last Sequence Value received over the serial chain. Accordingly, time can be sub-divided into 8 millisecond periods, each labeled with a unique 8-bit code. The unique 8-bit code can be agreed upon by all sensors within the serial chain.
  • At element 606, an interrupt can be sent to a microcontroller. The microcontroller can read the peaks (magnitude values and time code pairs) from each sensor and reconstruct the gesture associated with the peak in magnitude.
  • In order to provide additional context for various aspects of the subject specification, FIG. 7 illustrates an exemplary functional block diagram for the architecture 700 of the subject disclosure. In one aspect, the systems (e.g., 100-200) disclosed herein can be employed in a reflection based proximity and motion detector with an integrated ambient light sensor (ALS) depicted in FIG. 7. The architecture 700 includes one or more LEDs and associated driver circuitry, one or more photodiode sensors (arranged in a serial chain, for example the serial chain as illustrated in FIG. 2), an analog front end and signal processing (e.g., of signals from the photodiodes arranged in the serial chain, for example elements 106, 108, 110 as illustrated in FIG. 1 above.), data conversion circuitry, digital control and signal processing, interface circuitry and results display. The architecture 700 adaptively optimizes sensitivity and power for a given environment. Moreover, the architecture 700 derives significant performance improvements from its novel ALS structure, and its light emitting diode (LED) driver circuitry is much more efficient than the conventional resistive drive.
  • According to an aspect of the subject disclosure, the architecture 700 includes a Resonant Front End 702, which includes a Trans-Impedance Resonator (TIR). In the architecture 700, the TIR 702 is used in place of the Trans-Inductance Amplifier (TIA), which is conventionally used. However, TIA can also be employed in signal processing applications of signals received from the serial chained photodiodes (e.g., signals 106, 108, 110 as described above.).
  • Although the TIR 702 plays the same role as a conventional TIA, the TIR 702 gives an order of magnitude improvement in achievable Signal-to-Noise-Ratio (SNR) due to its band-pass nature (e.g., TIR 702 includes an inductor and a capacitor), which allows for an increased range of sensing. The capacitor of the TIR can include the capacitance of the photodiode that is being resonated. The band-pass nature of the TIR 702 causes the architecture 700 to operate over a narrow band of frequencies, which allows for little noise compared to the wide band TIA.
  • According to another aspect of the subject disclosure, the ALS 710 uses a light to frequency converter based on a relaxation oscillator instead of the conventional TIA. A relaxation oscillator is an oscillator based upon the relaxation behavior of a physical system. An exemplary implementation for the relaxation oscillator of the subject disclosure can be done by connecting the inverting input of an Operational Amplifier (Op Amp) to a fixed bias voltage via a switch and also the photodiode, with the non-inverting input connected to ground. When the switch to the fixed bias voltage is opened, the photodiode will discharge towards ground. The rate of discharge will depend on the photodiode current, which is a measure of the incident ambient light. When the photodiode is discharged to ground, the Computer Programmable Logic Device (CPLD) resets the oscillator by switching back in the bias voltage. The CPLD counts the number of cycles that the photodiode takes to discharge, and thus can estimate the ambient light intensity incident on the photodiode. The ALS 710 can be used for ambient light sensing applications and the TIR 702 can be used for proximity and motion sensing applications.
  • The output of the Front end 702 is subjected to multiple stages of voltage gain 716 to maximize the SNR of the output signal. The voltage gain is adaptively set based on the magnitude of the signal received from the Front end 702, which is potentially made up of both measureable interferers such as a backscatter and a crosstalk from the LED, and also the desired signal to be measured. The interferers are dynamically calibrated out of the measurement to improve the sensitivity. According to another aspect of the subject disclosure, the LED drive circuitry 756 uses an inductive drive, which results in a significant efficiency improvement over the conventional resistive drive.
  • The architecture 700 also includes a Quad Demodulator with low pass filters (LPFs) 720, dual [I & Q] Analog to Digital Converters (ADCs) 726, Digital to Analog Converters (DACs) 730 driven by the bias voltage provided by the Automatic Gain Control module, Oscillator DACs 744 for 1 and Q carriers, the Universal Serial Bus (USB) processor for Control Interface, and the Computer Programmable Logic Device (CPLD) that include several modules. The CPLD is merely exemplary. One or more different parts can be employed in lieu of a CPLD. For example, one or more Application Specific IC(s), a digital signal processor and memory. The I and Q relate to In-Phase and Quadrature demodulation components.
  • QAM is both an analog and a digital modulation scheme. Moreover, QAM is a modulation scheme in which two sinusoidal carriers, one exactly 90 degrees out of phase with respect to the other, are used to transmit data over a given physical channel. Since the orthogonal carriers occupy the same frequency band and differ by a 90 degree phase shift, each can be modulated independently, transmitted over the same frequency band, and separated by demodulation at the receiver. Thus, QAM enables data transmission at twice the rate of standard pulse amplitude modulation (PAM) without any degradation in the bit error rate (BER). In one example a numerically controlled oscillator (NCO) can be employed to design a dual-output oscillator that accurately generates the in-phase and quadrature carriers used by a QAM modulator and/or demodulator. A filter, for example, a raised cosine finite impulse response (FIR) filter can be utilized to filter the data streams before modulation onto the quadrature carriers.
  • The in-phase and quadrature demodulated components are created by multiplying the signal by both a carrier signal, and also a signal 90 degrees out of phase of that carrier, and low pass filtering the result (720 in FIG. 7). The resultant I and Q are a baseband representation of the received signal. In one example, the phase of the derivative of I and Q channels can be obtained, which is indicative of the distance of the target to be calculated. Further, the position of a moving object can be accurately identified based on the phase data. Typically, the resultant phase information can be used as a direct output of the system as a measure of distance/position, and/or can be used to reconstruct the static component of the signal and allow the calibration of a non-derivative time of flight (TOF) measurement.
  • The architecture 700 of the subject disclosure can be used in many applications including computers, automotive, industrial, television displays and others. For example, the architecture 700 can be used to detect that a user has entered the room and automatically cause a laptop computer in hibernation mode to wake up and enter into the active mode so that the user can use it. In another example, the architecture 700 of the subject disclosure can be used to automatically and adaptively adjust the intensity of a liquid crystal display (LCD) based on the ambient lighting conditions. According to an aspect of the subject disclosure, the architecture 700 can perform motion and proximity sensing at a range of up to 1-2 meters. According to another aspect of the subject disclosure, the architecture 700 of the subject disclosure can perform its operations by using less than twenty milli-watts (mW) of power.
  • In one embodiment of the subject disclosure, the entire architecture 700 can be implemented in a single integrated circuit chip (IC). In another embodiment of the subject disclosure, all components of the architecture 700 can be implemented in the IC except for the two inductors for the TIR 702 and the LED driver circuitry 756 and the LED, which can be implemented outside the IC. In yet another embodiment of the subject disclosure, all components of the architecture 700 can be implemented in the IC except for the TIR 702 inductor, the LED and the inductor and the resistor for the LED driver circuitry, which can be implemented outside the IC. In still another embodiment of the subject disclosure, various components of the architecture 700 can be located inside or outside the IC.
  • What has been described above includes examples of the subject disclosure. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the claimed subject matter, but many further combinations and permutations of the subject disclosure are possible. Accordingly, the claimed subject matter is intended to embrace all such alterations, modifications, and variations that fall within the spirit and scope of the appended claims.
  • In particular and in regard to the various functions performed by the above described components, devices, circuits, systems and the like, the terms (including a reference to a “means”) used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., a functional equivalent), even though not structurally equivalent to the disclosed structure, which performs the function in the herein illustrated exemplary aspects of the claimed subject matter. In this regard, it will also be recognized that the disclosure includes a system as well as a computer-readable medium having computer-executable instructions for performing the acts and/or events of the various methods of the claimed subject matter.
  • The aforementioned systems/circuits/modules have been described with respect to interaction between several components. It can be appreciated that such systems/circuits/modules and components can include those components or specified sub-components, some of the specified components or sub-components, and/or additional components, and according to various permutations and combinations of the foregoing. Sub-components can also be implemented as components communicatively coupled to other components rather than included within parent components (hierarchical). Additionally, it should be noted that one or more components may be combined into a single component providing aggregate functionality or divided into several separate sub-components, and any one or more middle layers, such as a management layer, may be provided to communicatively couple to such sub-components in order to provide integrated functionality. Any components described herein may also interact with one or more other components not specifically described herein but generally known by those of skill in the art.
  • In addition, while a particular feature of the subject disclosure may have been disclosed with respect to only one of several implementations, such feature may be combined with one or more other features of the other implementations as may be desired and advantageous for any given or particular application. Furthermore, to the extent that the terms “includes,” “including,” “has,” “contains,” variants thereof, and other similar words are used in either the detailed description or the claims, these terms are intended to be inclusive in a manner similar to the term “comprising” as an open transition word without precluding any additional or other elements.

Claims (20)

1. An apparatus, comprising:
at least one detector that generates an electrical signal in response to detecting at least one motion; and
a motion detector circuit that determines that the electrical signal corresponds to the at least one motion; wherein,
the at least one detector sends the electrical signal to the motion detector circuit across a bus; and
the at least one detector receives an address on the bus according to a serial chain.
2. The apparatus of claim 1, wherein the at least one detector is at least one light sensor.
3. The apparatus of claim 3, wherein the at least one light sensor comprises at least one infrared (IR) sensor.
4. The apparatus of claim 1, wherein the electrical signal comprises a datagram and the address is assigned for the at least one detector based at least in part on the datagram
5. The apparatus of claim 4, wherein the datagram comprises a first field that indicates that an address should be incremented by a number in a second field.
6. The apparatus of claim 5, wherein the first data field is a COMMAND field set to 00.
7. The apparatus of claim 5, wherein the second data field is an 8-bit field.
8. The apparatus sensor of claim 7, wherein the second data field is initially set to 1.
9. The apparatus of claim 8, wherein the at least one detector increments the second data field by one before sending the datagram to a next detector.
10. The apparatus of claim 1, wherein the at least one detector comprises an input pin that is driven high and an output pin that is driven low on power up.
11. The apparatus of claim 7, further comprising a next detector coupled to the first detector, wherein the next detector comprises an input pin that is driven low and an output pin that is driven low on power up.
12. A method, comprising:
configuring at least a first sensor and a next sensor on a serial chain to share an emitter;
driving the emitter by the first sensor for a predetermined time period;
sending a datagram from the first sensor to the next sensor; and
driving the emitter by the second sensor for the predetermined time period.
13. The method of claim 12, wherein the pre-determined time period is 8 milliseconds.
14. The method of claim 12, wherein the configuring further comprises configuring the at least the first sensor and the second sensor on the serial chain to share the emitter through a register map.
15. The method of claim 12, wherein the driving the emitter by the first sensor further comprises driving the emitter for 128 samples, each 62.5 microseconds long.
16. The method of claim 12, wherein the driving the emitter by using the first sensor further comprises driving the emitter by using the first sensor through a driving pin of the first sensor.
17. A system, comprising:
at least one light emitting diode (LED) that emits a signal, wherein at least a portion of the signal reflects back from a moving object;
one or more sensors for generating an electric signal based on a peak in the reflected portion of the frequency modulated signal, wherein the one or more sensors are arranged in a serial chain and transmit the electric signal across the serial chain; and
a signal processing circuit that reconstructs the at least one gesture based at least in part on the electric signal.
18. The system of claim 17, wherein the serial chain facilitates automatic time correlation between the one or more sensors.
19. The system of claim 17, wherein the one or more sensors comprise one or more four-sample first-in-first-outs (FIFOs) that store a time code of the peak and a magnitude of the peak.
20. The system of claim 19, wherein the signal processing circuit reads the peak from the one or more sensors and reconstructs the at least one gesture based at least in part on the magnitude of the peak and the time code of the peak.
US13/013,640 2010-01-27 2011-01-25 Serial-chaining proximity sensors for gesture recognition Abandoned US20110180709A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US13/013,640 US20110180709A1 (en) 2010-01-27 2011-01-25 Serial-chaining proximity sensors for gesture recognition
TW100103045A TW201203008A (en) 2010-01-27 2011-01-27 Serial-chaining proximity sensors for gesture recognition

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US29889510P 2010-01-27 2010-01-27
US13/013,640 US20110180709A1 (en) 2010-01-27 2011-01-25 Serial-chaining proximity sensors for gesture recognition

Publications (1)

Publication Number Publication Date
US20110180709A1 true US20110180709A1 (en) 2011-07-28

Family

ID=44308255

Family Applications (7)

Application Number Title Priority Date Filing Date
US12/979,726 Active 2032-09-24 US8760631B2 (en) 2010-01-27 2010-12-28 Distance sensing by IQ domain differentiation of time of flight (TOF) measurements
US13/013,173 Active 2031-06-12 US8274037B2 (en) 2010-01-27 2011-01-25 Automatic calibration technique for time of flight (TOF) transceivers
US13/013,640 Abandoned US20110180709A1 (en) 2010-01-27 2011-01-25 Serial-chaining proximity sensors for gesture recognition
US13/013,199 Abandoned US20110180693A1 (en) 2010-01-27 2011-01-25 Photodiode front end with improved power supply rejection ratio (psrr)
US13/013,146 Active 2032-01-13 US8530819B2 (en) 2010-01-27 2011-01-25 Direct current (DC) correction circuit for a time of flight (TOF) photodiode front end
US13/013,676 Abandoned US20110182519A1 (en) 2010-01-27 2011-01-25 Gesture recognition with principal component anaysis
US14/296,277 Active 2033-06-28 US10031078B2 (en) 2010-01-27 2014-06-04 Distance sensing by IQ domain differentiation of time of flight (TOF) measurements

Family Applications Before (2)

Application Number Title Priority Date Filing Date
US12/979,726 Active 2032-09-24 US8760631B2 (en) 2010-01-27 2010-12-28 Distance sensing by IQ domain differentiation of time of flight (TOF) measurements
US13/013,173 Active 2031-06-12 US8274037B2 (en) 2010-01-27 2011-01-25 Automatic calibration technique for time of flight (TOF) transceivers

Family Applications After (4)

Application Number Title Priority Date Filing Date
US13/013,199 Abandoned US20110180693A1 (en) 2010-01-27 2011-01-25 Photodiode front end with improved power supply rejection ratio (psrr)
US13/013,146 Active 2032-01-13 US8530819B2 (en) 2010-01-27 2011-01-25 Direct current (DC) correction circuit for a time of flight (TOF) photodiode front end
US13/013,676 Abandoned US20110182519A1 (en) 2010-01-27 2011-01-25 Gesture recognition with principal component anaysis
US14/296,277 Active 2033-06-28 US10031078B2 (en) 2010-01-27 2014-06-04 Distance sensing by IQ domain differentiation of time of flight (TOF) measurements

Country Status (4)

Country Link
US (7) US8760631B2 (en)
CN (3) CN102822759B (en)
TW (6) TWI439716B (en)
WO (6) WO2011094365A1 (en)

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110181892A1 (en) * 2010-01-27 2011-07-28 Intersil Americas Inc. Automatic calibration technique for time of flight (tof) transceivers
US20110248172A1 (en) * 2010-04-13 2011-10-13 Rueger Timothy T Apparatus with optical functionality and power management and associated methods
US20120280905A1 (en) * 2011-05-05 2012-11-08 Net Power And Light, Inc. Identifying gestures using multiple sensors
US20130241888A1 (en) * 2012-03-14 2013-09-19 Texas Instruments Incorporated Detecting Wave Gestures Near an Illuminated Surface
US20130300644A1 (en) * 2012-05-11 2013-11-14 Comcast Cable Communications, Llc System and Methods for Controlling a User Experience
US20140033141A1 (en) * 2011-04-13 2014-01-30 Nokia Corporation Method, apparatus and computer program for user control of a state of an apparatus
WO2014085269A1 (en) * 2012-11-29 2014-06-05 Amazon Technologies, Inc. Gesture detection management for an electronic device
US9194741B2 (en) 2013-09-06 2015-11-24 Blackberry Limited Device having light intensity measurement in presence of shadows
US9256290B2 (en) 2013-07-01 2016-02-09 Blackberry Limited Gesture detection using ambient light sensors
US9298333B2 (en) 2011-12-22 2016-03-29 Smsc Holdings S.A.R.L. Gesturing architecture using proximity sensing
US9304596B2 (en) 2013-07-24 2016-04-05 Blackberry Limited Backlight for touchless gesture detection
US9323336B2 (en) 2013-07-01 2016-04-26 Blackberry Limited Gesture detection using ambient light sensors
US9342671B2 (en) 2013-07-01 2016-05-17 Blackberry Limited Password by touch-less gesture
US9367137B2 (en) 2013-07-01 2016-06-14 Blackberry Limited Alarm operation by touch-less gesture
US9398221B2 (en) 2013-07-01 2016-07-19 Blackberry Limited Camera control using ambient light sensors
US9405461B2 (en) 2013-07-09 2016-08-02 Blackberry Limited Operating a device using touchless and touchscreen gestures
US9423913B2 (en) 2013-07-01 2016-08-23 Blackberry Limited Performance control of ambient light sensors
US9465448B2 (en) 2013-07-24 2016-10-11 Blackberry Limited Backlight for touchless gesture detection
US9489051B2 (en) 2013-07-01 2016-11-08 Blackberry Limited Display navigation using touch-less gestures
US11076789B2 (en) * 2016-06-22 2021-08-03 Linet Spol. S.R.O Medical data collection system and method of use thereof
US11284808B2 (en) 2014-10-11 2022-03-29 Linet Spol. S.R.O. Device and method for measurement of vital functions, including intracranial pressure, and system and method for collecting data
US11599199B2 (en) 2019-11-28 2023-03-07 Boe Technology Group Co., Ltd. Gesture recognition apparatus, gesture recognition method, computer device and storage medium
US20230089705A1 (en) * 2021-09-17 2023-03-23 Melexis Bulgaria EOOD Sensing system comprising a chain of sensors

Families Citing this family (103)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
USRE46672E1 (en) 2006-07-13 2018-01-16 Velodyne Lidar, Inc. High definition LiDAR system
EP2418512A1 (en) * 2010-07-30 2012-02-15 Mechaless Systems GmbH Optoelectronic measuring assembly with compensation for external light sources
CN102564576B (en) * 2010-12-17 2013-11-06 鸿富锦精密工业(深圳)有限公司 Light intensity testing device
KR20120072134A (en) * 2010-12-23 2012-07-03 한국전자통신연구원 Apparatus and method for accelerating virtual desktop
JP5566934B2 (en) * 2011-03-23 2014-08-06 株式会社東芝 Voltage output circuit and active cable
US8604436B1 (en) * 2011-03-24 2013-12-10 Maxim Integrated Products, Inc. Proximity sensor device
US8988660B2 (en) * 2011-06-29 2015-03-24 Silicon Laboratories Inc. Optical detector
US8994926B2 (en) * 2012-02-14 2015-03-31 Intersil Americas LLC Optical proximity sensors using echo cancellation techniques to detect one or more objects
TWI470485B (en) * 2012-03-29 2015-01-21 Wistron Corp Stylus capable of detecting pressure on a tip
US20130257583A1 (en) * 2012-03-29 2013-10-03 Motorola Mobility, Inc. Wireless communication device and method with ultrasonic detection
TWI484379B (en) * 2012-06-01 2015-05-11 Pixart Imaging Inc Optical detecting device
TWI465753B (en) * 2012-08-15 2014-12-21 Generalplus Technology Inc Position identification system and method and system and method for gesture identification thereof
IN2015DN02057A (en) * 2012-09-13 2015-08-14 Mbda Uk Ltd
KR101338459B1 (en) * 2012-10-19 2013-12-10 고려대학교 산학협력단 Sensor unit
US20140346361A1 (en) * 2013-05-23 2014-11-27 Yibing M. WANG Time-of-flight pixels also sensing proximity and/or detecting motion in imaging devices & methods
KR102102702B1 (en) * 2013-06-19 2020-04-21 삼성전자주식회사 Unit pixel of image sensor and image sensor having the same
KR20150010230A (en) * 2013-07-18 2015-01-28 삼성전자주식회사 Method and apparatus for generating color image and depth image of an object using singular filter
JP6207321B2 (en) * 2013-09-26 2017-10-04 ローム株式会社 Optical sensor device
US9250714B2 (en) 2013-11-27 2016-02-02 Intersil Americas LLC Optical proximity detectors
KR102159996B1 (en) * 2013-12-16 2020-09-25 삼성전자주식회사 Event filtering device and motion recognition device thereof
JP6146295B2 (en) * 2013-12-26 2017-06-14 株式会社豊田中央研究所 Radar apparatus and speed direction measuring method
US9681123B2 (en) 2014-04-04 2017-06-13 Microsoft Technology Licensing, Llc Time-of-flight phase-offset calibration
US9523765B2 (en) 2014-07-14 2016-12-20 Omnivision Technologies, Inc. Pixel-level oversampling for a time of flight 3D image sensor with dual range measurements
WO2016032048A1 (en) * 2014-08-28 2016-03-03 엘지전자 주식회사 Proximity sensor and method for controlling same
US9977512B2 (en) * 2014-10-24 2018-05-22 Intersil Americas LLC Open loop correction for optical proximity detectors
CN104346043A (en) * 2014-11-03 2015-02-11 武汉麦塔威科技有限公司 Bar code scanning positioning based interaction display method of mobile screen and device of interaction display method
US10795005B2 (en) * 2014-12-09 2020-10-06 Intersil Americas LLC Precision estimation for optical proximity detectors
JP2016150130A (en) * 2015-02-18 2016-08-22 セイコーエプソン株式会社 Information acquisition device and information acquisition method
US9983680B2 (en) * 2015-03-23 2018-05-29 Intel Corporation Gesture recognition mechanism
JP6386410B2 (en) * 2015-03-31 2018-09-05 新明和工業株式会社 Motion detection device
US9667349B1 (en) * 2015-04-15 2017-05-30 The United States Of America As Represented By The Secretary Of The Navy Dynamic range extension of heterodyne fiber-optic interferometers via instantaneous carrier measurement
CN105034802B (en) * 2015-05-26 2017-12-05 李洪金 E-Gas based on infrared distance measurement
US10422870B2 (en) 2015-06-15 2019-09-24 Humatics Corporation High precision time of flight measurement system for industrial automation
CN108024513A (en) * 2015-06-15 2018-05-11 修麦提克斯公司 High-precision time-of-flight measurement system for industrial automation
US10591592B2 (en) 2015-06-15 2020-03-17 Humatics Corporation High-precision time of flight measurement systems
US10048357B2 (en) * 2015-06-15 2018-08-14 Microsoft Technology Licensing, Llc Time-of-flight (TOF) system calibration
CN107683109B (en) * 2015-06-25 2021-06-08 费森尤斯医疗控股股份有限公司 Direct light differential measurement system
US9952676B2 (en) 2015-06-25 2018-04-24 Intel Corporation Wearable device with gesture recognition mechanism
TWI708070B (en) * 2015-10-22 2020-10-21 新加坡商海特根微光學公司 Optical crosstalk calibration for ranging systems
US10324494B2 (en) 2015-11-25 2019-06-18 Intel Corporation Apparatus for detecting electromagnetic field change in response to gesture
JP2019508920A (en) 2015-12-17 2019-03-28 ヒューマティクス コーポレイション Radio frequency localization technology and related systems, devices, and methods
US10627490B2 (en) 2016-01-31 2020-04-21 Velodyne Lidar, Inc. Multiple pulse, LIDAR based 3-D imaging
CN109154661A (en) 2016-03-19 2019-01-04 威力登激光雷达有限公司 Integrated irradiation and detection for the 3-D imaging based on LIDAR
US11401733B2 (en) 2016-04-15 2022-08-02 Spectrum Brands, Inc. Wireless lockset with integrated angle of arrival (AOA) detection
US10139341B2 (en) 2016-05-31 2018-11-27 Tt Electronics Plc Self-calibrating optical detector
CA3024510C (en) 2016-06-01 2022-10-04 Velodyne Lidar, Inc. Multiple pixel scanning lidar
US10298282B2 (en) 2016-06-16 2019-05-21 Intel Corporation Multi-modal sensing wearable device for physiological context measurement
US10598783B2 (en) 2016-07-07 2020-03-24 Microsoft Technology Licensing, Llc Multi-frequency unwrapping
CN106405524A (en) * 2016-08-24 2017-02-15 上海兰宝传感科技股份有限公司 Infrared distance measuring sensor
CN106405565A (en) * 2016-08-24 2017-02-15 上海兰宝传感科技股份有限公司 Unmanned aerial vehicle barrier-avoiding/height-determining system
US10620295B2 (en) * 2016-09-14 2020-04-14 Htc Corporation Positioning signal receiver, positioning system and positioning method of the same
CN106405567B (en) * 2016-10-14 2018-03-02 海伯森技术(深圳)有限公司 A kind of range-measurement system and its bearing calibration based on TOF
US10291895B2 (en) 2016-10-25 2019-05-14 Omnivision Technologies, Inc. Time of flight photosensor
CN106546993B (en) * 2016-11-04 2019-04-16 武汉万集信息技术有限公司 A kind of range unit and distance measuring method improving pulse type laser range accuracy
CN110914705A (en) 2017-03-31 2020-03-24 威力登激光雷达有限公司 Integrated LIDAR lighting power control
CA3062701A1 (en) 2017-05-08 2018-11-15 Velodyne Lidar, Inc. Lidar data acquisition and control
TWI621868B (en) * 2017-06-21 2018-04-21 Univ Kun Shan System and method for guiding brain waves to blind people
CN109213385B (en) * 2017-07-05 2021-07-20 光宝科技新加坡私人有限公司 Mobile device and proximity sensing module thereof
US10575384B2 (en) * 2017-10-23 2020-02-25 Infineon Technologies Ag Adaptive transmit light control
US10944486B2 (en) * 2017-12-06 2021-03-09 Elenion Technologies, Llc DC current cancellation scheme for an optical receiver
US11294041B2 (en) 2017-12-08 2022-04-05 Velodyne Lidar Usa, Inc. Systems and methods for improving detection of a return signal in a light ranging and detection system
US10393875B2 (en) 2017-12-19 2019-08-27 Nortek Security & Control Llc Time of flight based sensor
USD850946S1 (en) 2018-02-01 2019-06-11 Tyco Fire & Security Gmbh Position detector
US10718147B2 (en) 2018-04-06 2020-07-21 Tyco Fire & Security Gmbh Optical displacement detector with adjustable pattern direction
US20190317196A1 (en) * 2018-04-17 2019-10-17 Continental Automotive Systems, Inc. Crosstalk mitigation circuit for lidar pixel receivers
TWI660591B (en) 2018-05-24 2019-05-21 立積電子股份有限公司 Phase information extraction circuit and phase information extraction method for object movement
CN109031192B (en) * 2018-06-26 2020-11-06 北京永安信通科技有限公司 Object positioning method, object positioning device and electronic equipment
TWI697845B (en) * 2018-07-13 2020-07-01 緯創資通股份有限公司 Multi-object tracking method and system
CN109035345A (en) * 2018-07-20 2018-12-18 齐鲁工业大学 The TOF camera range correction method returned based on Gaussian process
CN109061609B (en) * 2018-08-01 2021-09-07 歌尔光学科技有限公司 TOF module calibration device and method
US11073615B2 (en) * 2018-08-20 2021-07-27 Lite-On Singapore Pte. Ltd. Proximity sensor module with two sensors
US10712434B2 (en) 2018-09-18 2020-07-14 Velodyne Lidar, Inc. Multi-channel LIDAR illumination driver
TWI693421B (en) * 2018-10-24 2020-05-11 精準基因生物科技股份有限公司 Time-of-flight ranging device and time-of-flight ranging method
US11082010B2 (en) 2018-11-06 2021-08-03 Velodyne Lidar Usa, Inc. Systems and methods for TIA base current detection and compensation
DE102019134142A1 (en) * 2018-12-12 2020-06-18 Analog Devices, Inc. BUILT-IN CALIBRATION OF RUN TIME DEPTH IMAGING SYSTEMS
US11423572B2 (en) * 2018-12-12 2022-08-23 Analog Devices, Inc. Built-in calibration of time-of-flight depth imaging systems
US11885874B2 (en) * 2018-12-19 2024-01-30 Semiconductor Components Industries, Llc Acoustic distance measuring circuit and method for low frequency modulated (LFM) chirp signals
US11885958B2 (en) 2019-01-07 2024-01-30 Velodyne Lidar Usa, Inc. Systems and methods for a dual axis resonant scanning mirror
CN111669278A (en) * 2019-03-06 2020-09-15 马维尔亚洲私人有限公司 Method and device for waking up physical layer of first node in low-power mode
US11500100B2 (en) * 2019-04-15 2022-11-15 Microsoft Technology Licensing, Llc Time-of-flight measurements using linear inverse function
US10819920B1 (en) 2019-05-22 2020-10-27 Dell Products L.P. Augmented information handling system user presence detection
CN112135071B (en) * 2019-06-25 2023-07-28 上海耕岩智能科技有限公司 Image sensing system
US11317040B2 (en) * 2019-06-25 2022-04-26 Shanghai Harvest Intelligence Technology Co., Ltd. Image sensing apparatus
US10613203B1 (en) 2019-07-01 2020-04-07 Velodyne Lidar, Inc. Interference mitigation for light detection and ranging
TWI739204B (en) * 2019-07-22 2021-09-11 財團法人工業技術研究院 System and method for signal sensing
TWI717842B (en) * 2019-09-18 2021-02-01 茂達電子股份有限公司 Optical proximity sensor with digital correction circuit and digital correction method thereof
US11294054B2 (en) 2019-10-11 2022-04-05 Dell Products L.P. Information handling system infrared proximity detection with ambient light management
US11435447B2 (en) 2019-10-11 2022-09-06 Dell Products L.P. Information handling system proximity sensor with mechanically adjusted field of view
US11435475B2 (en) 2019-10-11 2022-09-06 Dell Products L.P. Information handling system infrared proximity detection with frequency domain modulation
US11662695B2 (en) 2019-10-11 2023-05-30 Dell Products L.P. Information handling system infrared proximity detection with distance reduction detection
CN111095914B (en) 2019-12-06 2022-04-29 深圳市汇顶科技股份有限公司 Three-dimensional image sensing system, related electronic device and time-of-flight distance measurement method
US11334146B2 (en) 2020-01-31 2022-05-17 Dell Products L.P. Information handling system peripheral enhanced user presence detection
US11513813B2 (en) 2020-01-31 2022-11-29 Dell Products L.P. Information handling system notification presentation based upon user presence detection
US11663343B2 (en) 2020-01-31 2023-05-30 Dell Products L.P. Information handling system adaptive user presence detection
WO2021188435A1 (en) * 2020-03-17 2021-09-23 Becton, Dickinson And Company Gain matched amplifiers for light detection
US11796715B2 (en) 2020-06-24 2023-10-24 Sloan Valve Company Hybrid time-of-flight sensor and IR sensor
TWI759213B (en) * 2020-07-10 2022-03-21 大陸商廣州印芯半導體技術有限公司 Light sensor and sensing method thereof
US11280847B1 (en) * 2020-10-30 2022-03-22 Taiwan Semiconductor Manufacturing Company Ltd. Circuit, semiconductor device and method for parameter PSRR measurement
US11808895B2 (en) 2020-12-11 2023-11-07 Stmicroelectronics (Research & Development) Limited Methods and devices for crosstalk compensation
KR102354158B1 (en) 2021-01-14 2022-01-21 박천수 Multi Phase correlation Vector Synthesis Ranging Method and apparatus
TWI761047B (en) * 2021-01-22 2022-04-11 明泰科技股份有限公司 Method for verifying detection range of image detector
CN114489229B (en) * 2021-12-24 2023-01-31 芯海科技(深圳)股份有限公司 Drift voltage correction circuit, integrated circuit, measuring device, and electronic apparatus
TWI805425B (en) * 2022-06-29 2023-06-11 中國鋼鐵股份有限公司 System and method for determining time of light of ultrasound wave

Citations (45)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3996590A (en) * 1961-02-02 1976-12-07 Hammack Calvin M Method and apparatus for automatically detecting and tracking moving objects and similar applications
US4458212A (en) * 1981-12-30 1984-07-03 Mostek Corporation Compensated amplifier having pole zero tracking
US4542475A (en) * 1982-11-23 1985-09-17 Rca Corporation Sampled data filter system as for a digital TV
US4551710A (en) * 1983-04-29 1985-11-05 Cerberus Ag Method and apparatus for reporting dangerous conditions
US4648364A (en) * 1985-07-08 1987-03-10 Wills William H Engine protection apparatus
US4942561A (en) * 1988-06-29 1990-07-17 Kabushikikaisha Topcon Delay time measuring device
US5055671A (en) * 1990-10-03 1991-10-08 Spacelabs, Inc. Apparatus for detecting transducer movement using a first and second light detector
US5563701A (en) * 1993-12-29 1996-10-08 Hyundai Electronics Industries Co., Ltd. Apparatus and method for measuring distance optically using phase variation
US5593430A (en) * 1995-01-27 1997-01-14 Pacesetter, Inc. Bus system for interconnecting an implantable medical device with a plurality of sensors
US5828899A (en) * 1996-01-04 1998-10-27 Compaq Computer Corporation System for peripheral devices recursively generating unique addresses based on the number of devices connected dependent upon the relative position to the port
US5892540A (en) * 1996-06-13 1999-04-06 Rockwell International Corporation Low noise amplifier for passive pixel CMOS imager
US5990409A (en) * 1997-12-26 1999-11-23 Roland Kabushiki Kaisha Musical apparatus detecting maximum values and/or peak values of reflected light beams to control musical functions
US6111256A (en) * 1997-04-10 2000-08-29 Shmuel Hershkovitz & Pinhas Shpater Infrared motion detection signal sampler
US6392539B1 (en) * 1998-07-13 2002-05-21 Honda Giken Kogyo Kabushiki Kaisha Object detection apparatus
US20020097743A1 (en) * 1993-03-09 2002-07-25 Ertugrul Baydar Integrated digital loop carrier system with virtual tributary mapper circuit
US6462726B1 (en) * 1998-02-19 2002-10-08 Matsushita Electric Industrial Co., Ltd. Video signal processor
US20030234341A1 (en) * 2002-06-20 2003-12-25 Osborn Jon V. Microelectromechanical system optical sun sensor
US6744248B2 (en) * 2001-12-08 2004-06-01 Koninklijke Philips Electronics N.V. Arrangement for detecting motion of an encoder
US6753950B2 (en) * 2000-01-26 2004-06-22 Instro Precision Limited Optical distance measurement
US20040140961A1 (en) * 2003-01-17 2004-07-22 Eastman Kodak Company Oled display and touch screen
US6803555B1 (en) * 2001-09-07 2004-10-12 Indigo Systems Corporation Two-stage auto-zero amplifier circuit for electro-optical arrays
US6819782B1 (en) * 1999-06-08 2004-11-16 Matsushita Electric Industrial Co., Ltd. Device and method for recognizing hand shape and position, and recording medium having program for carrying out the method recorded thereon
US6836212B2 (en) * 2002-10-10 2004-12-28 Motorola, Inc. Method and apparatus for reducing the likelihood of losing a portable electronic device
US6888938B2 (en) * 1999-05-11 2005-05-03 Agere Systems Inc. Dynamically adjustable digital gyrator having extendable feedback for stable DC load line
US20060120621A1 (en) * 2000-01-06 2006-06-08 Canon Kabushiki Kaisha Demodulation and phase estimation of two-dimensional patterns
US20070013791A1 (en) * 2005-07-05 2007-01-18 Koichi Kinoshita Tracking apparatus
US7212655B2 (en) * 2000-09-15 2007-05-01 Tumey David M Fingerprint verification system
US20070121095A1 (en) * 2005-11-28 2007-05-31 Robert Lewis Distance measurement device with short range optics
US20080119716A1 (en) * 2006-05-17 2008-05-22 Olga Boric-Lubecke Determining presence and/or physiological motion of one or more subjects with quadrature doppler radar receiver systems
US20080205820A1 (en) * 2007-02-27 2008-08-28 Intersil Americas Inc. Dynamically configurable multiple wavelength photodetector array for optical storage applications
US20080256494A1 (en) * 2007-04-16 2008-10-16 Greenfield Mfg Co Inc Touchless hand gesture device controller
US20080266128A1 (en) * 2007-04-27 2008-10-30 Sensormatic Electronics Corporation Handheld data capture system with power and safety monitor and method therefore
US20090006730A1 (en) * 2007-06-26 2009-01-01 International Business Machines Corporation Data eye monitor method and apparatus
US20090027529A1 (en) * 2007-07-16 2009-01-29 Jung Sang-Il Image sensor with wide operating range
US7486386B1 (en) * 2007-09-21 2009-02-03 Silison Laboratories Inc. Optical reflectance proximity sensor
US7532870B2 (en) * 2004-04-13 2009-05-12 Maxlinear, Inc. Method and apparatus for DC offset removal
US7616032B2 (en) * 2003-12-30 2009-11-10 Hynix Semiconductor Inc. Internal voltage initializing circuit for use in semiconductor memory device and driving method thereof
US7619293B2 (en) * 2005-06-03 2009-11-17 Sanyo Electric Co., Ltd. Pin photodiode with improved blue light sensitivity
US7620202B2 (en) * 2003-06-12 2009-11-17 Honda Motor Co., Ltd. Target orientation estimation using depth sensing
US20090295729A1 (en) * 2008-06-03 2009-12-03 Asustek Computer Inc. Input device and operation method of computer system
US20100150399A1 (en) * 2008-12-12 2010-06-17 Miroslav Svajda Apparatus and method for optical gesture recognition
US20100295773A1 (en) * 2009-05-22 2010-11-25 Rachid Alameh Electronic device with sensing assembly and method for interpreting offset gestures
US20110176069A1 (en) * 2010-01-21 2011-07-21 Intersil Americas Inc. Systems and methods for projector light beam alignment
US20110310005A1 (en) * 2010-06-17 2011-12-22 Qualcomm Incorporated Methods and apparatus for contactless gesture recognition
US8086971B2 (en) * 2006-06-28 2011-12-27 Nokia Corporation Apparatus, methods and computer program products providing finger-based and hand-based gesture commands for portable electronic device applications

Family Cites Families (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB1343298A (en) 1971-07-30 1974-01-10 Mullard Ltd Crt display systems
US4644341A (en) * 1984-07-05 1987-02-17 Tri-Tronics Company, Inc. Contrast indicating arrangement in photoelectric sensing systems
EP0250534B2 (en) 1985-12-24 1994-09-28 British Broadcasting Corporation Bandwidth compression for television signals
JP2945423B2 (en) 1989-12-01 1999-09-06 株式会社アドバンテスト Color image signal evaluation method
US5469748A (en) * 1994-07-20 1995-11-28 Micro Motion, Inc. Noise reduction filter system for a coriolis flowmeter
US5742379A (en) * 1995-11-29 1998-04-21 Reifer; Michael H. Device and method for electronically measuring distances
JPH09236662A (en) * 1996-02-29 1997-09-09 Ushikata Shokai:Kk Electronic distance meter
US6127884A (en) 1999-05-24 2000-10-03 Philips Electronics North America Corp. Differentiate and multiply based timing recovery in a quadrature demodulator
US6891440B2 (en) 2000-10-02 2005-05-10 A. Michael Straub Quadrature oscillator with phase error correction
EP1384305A4 (en) * 2001-05-02 2005-11-09 Microchip Tech Inc Method and apparatus for high-voltage battery array monitoring sensors network
US7016537B2 (en) * 2001-07-02 2006-03-21 Trw Inc. Vehicle occupant sensor apparatus and method including scanned, phased beam transmission for occupant characteristic determination
US7288755B1 (en) * 2001-10-19 2007-10-30 Brian P. Platner Portable handheld artificial light detector
US6590520B1 (en) * 2002-02-04 2003-07-08 Lockheed Martin Corporation Method and system for determining air turbulence using bi-static measurements
US7184951B2 (en) * 2002-02-15 2007-02-27 Radiodetection Limted Methods and systems for generating phase-derivative sound
DE10305861A1 (en) * 2003-02-13 2004-08-26 Adam Opel Ag Motor vehicle device for spatial measurement of a scene inside or outside the vehicle, combines a LIDAR system with an image sensor system to obtain optimum 3D spatial image data
US20090283699A1 (en) * 2003-09-29 2009-11-19 Baltz Nathan T Frequency domain luminescence instrumentation
JP2005249764A (en) * 2004-03-02 2005-09-15 Katsumi Mori Object color measuring system
JP4199144B2 (en) * 2004-03-11 2008-12-17 株式会社東芝 Weight function generation device, reference signal generation device, transmission signal generation device, signal processing device, and antenna device
JP2006010506A (en) * 2004-06-25 2006-01-12 Sharp Corp Optical ranging sensor and self-running cleaner
CN1619295A (en) * 2004-12-10 2005-05-25 南京农业大学 Pork colour grading instrument
US7735037B2 (en) * 2005-04-15 2010-06-08 Rambus, Inc. Generating interface adjustment signals in a device-to-device interconnection system
JP5572315B2 (en) * 2005-09-08 2014-08-13 コーニンクレッカ フィリップス エヌ ヴェ Low current measurement with high dynamic range for optical imaging
DE602006008342D1 (en) * 2005-10-21 2009-09-17 Nxp Bv POLAR MODULATION DEVICE AND METHOD USING FM MODULATION
JP4799216B2 (en) * 2006-03-03 2011-10-26 富士通株式会社 Imaging device having distance measuring function
JP4116053B2 (en) * 2006-09-20 2008-07-09 北陽電機株式会社 Ranging device
JP4971744B2 (en) * 2006-10-18 2012-07-11 パナソニック株式会社 Spatial information detector using intensity-modulated light
EP2075935A1 (en) 2007-12-31 2009-07-01 Motorola, Inc. A method and apparatus for providing uninterrupted media to a user
JP5507053B2 (en) * 2008-03-27 2014-05-28 パナソニック株式会社 Distance measuring device
CN101581783B (en) 2008-05-16 2013-04-17 深圳市迈测科技有限公司 Calibration method for phase measurement, device and distance measuring apparatus
US20100066442A1 (en) * 2008-09-15 2010-03-18 Fenghao Mu Method and Apparatus for Tunable Current-Mode Filtering
JP2010127739A (en) * 2008-11-27 2010-06-10 Toppan Printing Co Ltd Spectral sensitivity characteristic measurement apparatus and spectral sensitivity characteristic measurement method
US8760631B2 (en) 2010-01-27 2014-06-24 Intersil Americas Inc. Distance sensing by IQ domain differentiation of time of flight (TOF) measurements

Patent Citations (45)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3996590A (en) * 1961-02-02 1976-12-07 Hammack Calvin M Method and apparatus for automatically detecting and tracking moving objects and similar applications
US4458212A (en) * 1981-12-30 1984-07-03 Mostek Corporation Compensated amplifier having pole zero tracking
US4542475A (en) * 1982-11-23 1985-09-17 Rca Corporation Sampled data filter system as for a digital TV
US4551710A (en) * 1983-04-29 1985-11-05 Cerberus Ag Method and apparatus for reporting dangerous conditions
US4648364A (en) * 1985-07-08 1987-03-10 Wills William H Engine protection apparatus
US4942561A (en) * 1988-06-29 1990-07-17 Kabushikikaisha Topcon Delay time measuring device
US5055671A (en) * 1990-10-03 1991-10-08 Spacelabs, Inc. Apparatus for detecting transducer movement using a first and second light detector
US20020097743A1 (en) * 1993-03-09 2002-07-25 Ertugrul Baydar Integrated digital loop carrier system with virtual tributary mapper circuit
US5563701A (en) * 1993-12-29 1996-10-08 Hyundai Electronics Industries Co., Ltd. Apparatus and method for measuring distance optically using phase variation
US5593430A (en) * 1995-01-27 1997-01-14 Pacesetter, Inc. Bus system for interconnecting an implantable medical device with a plurality of sensors
US5828899A (en) * 1996-01-04 1998-10-27 Compaq Computer Corporation System for peripheral devices recursively generating unique addresses based on the number of devices connected dependent upon the relative position to the port
US5892540A (en) * 1996-06-13 1999-04-06 Rockwell International Corporation Low noise amplifier for passive pixel CMOS imager
US6111256A (en) * 1997-04-10 2000-08-29 Shmuel Hershkovitz & Pinhas Shpater Infrared motion detection signal sampler
US5990409A (en) * 1997-12-26 1999-11-23 Roland Kabushiki Kaisha Musical apparatus detecting maximum values and/or peak values of reflected light beams to control musical functions
US6462726B1 (en) * 1998-02-19 2002-10-08 Matsushita Electric Industrial Co., Ltd. Video signal processor
US6392539B1 (en) * 1998-07-13 2002-05-21 Honda Giken Kogyo Kabushiki Kaisha Object detection apparatus
US6888938B2 (en) * 1999-05-11 2005-05-03 Agere Systems Inc. Dynamically adjustable digital gyrator having extendable feedback for stable DC load line
US6819782B1 (en) * 1999-06-08 2004-11-16 Matsushita Electric Industrial Co., Ltd. Device and method for recognizing hand shape and position, and recording medium having program for carrying out the method recorded thereon
US20060120621A1 (en) * 2000-01-06 2006-06-08 Canon Kabushiki Kaisha Demodulation and phase estimation of two-dimensional patterns
US6753950B2 (en) * 2000-01-26 2004-06-22 Instro Precision Limited Optical distance measurement
US7212655B2 (en) * 2000-09-15 2007-05-01 Tumey David M Fingerprint verification system
US6803555B1 (en) * 2001-09-07 2004-10-12 Indigo Systems Corporation Two-stage auto-zero amplifier circuit for electro-optical arrays
US6744248B2 (en) * 2001-12-08 2004-06-01 Koninklijke Philips Electronics N.V. Arrangement for detecting motion of an encoder
US20030234341A1 (en) * 2002-06-20 2003-12-25 Osborn Jon V. Microelectromechanical system optical sun sensor
US6836212B2 (en) * 2002-10-10 2004-12-28 Motorola, Inc. Method and apparatus for reducing the likelihood of losing a portable electronic device
US20040140961A1 (en) * 2003-01-17 2004-07-22 Eastman Kodak Company Oled display and touch screen
US7620202B2 (en) * 2003-06-12 2009-11-17 Honda Motor Co., Ltd. Target orientation estimation using depth sensing
US7616032B2 (en) * 2003-12-30 2009-11-10 Hynix Semiconductor Inc. Internal voltage initializing circuit for use in semiconductor memory device and driving method thereof
US7532870B2 (en) * 2004-04-13 2009-05-12 Maxlinear, Inc. Method and apparatus for DC offset removal
US7619293B2 (en) * 2005-06-03 2009-11-17 Sanyo Electric Co., Ltd. Pin photodiode with improved blue light sensitivity
US20070013791A1 (en) * 2005-07-05 2007-01-18 Koichi Kinoshita Tracking apparatus
US20070121095A1 (en) * 2005-11-28 2007-05-31 Robert Lewis Distance measurement device with short range optics
US20080119716A1 (en) * 2006-05-17 2008-05-22 Olga Boric-Lubecke Determining presence and/or physiological motion of one or more subjects with quadrature doppler radar receiver systems
US8086971B2 (en) * 2006-06-28 2011-12-27 Nokia Corporation Apparatus, methods and computer program products providing finger-based and hand-based gesture commands for portable electronic device applications
US20080205820A1 (en) * 2007-02-27 2008-08-28 Intersil Americas Inc. Dynamically configurable multiple wavelength photodetector array for optical storage applications
US20080256494A1 (en) * 2007-04-16 2008-10-16 Greenfield Mfg Co Inc Touchless hand gesture device controller
US20080266128A1 (en) * 2007-04-27 2008-10-30 Sensormatic Electronics Corporation Handheld data capture system with power and safety monitor and method therefore
US20090006730A1 (en) * 2007-06-26 2009-01-01 International Business Machines Corporation Data eye monitor method and apparatus
US20090027529A1 (en) * 2007-07-16 2009-01-29 Jung Sang-Il Image sensor with wide operating range
US7486386B1 (en) * 2007-09-21 2009-02-03 Silison Laboratories Inc. Optical reflectance proximity sensor
US20090295729A1 (en) * 2008-06-03 2009-12-03 Asustek Computer Inc. Input device and operation method of computer system
US20100150399A1 (en) * 2008-12-12 2010-06-17 Miroslav Svajda Apparatus and method for optical gesture recognition
US20100295773A1 (en) * 2009-05-22 2010-11-25 Rachid Alameh Electronic device with sensing assembly and method for interpreting offset gestures
US20110176069A1 (en) * 2010-01-21 2011-07-21 Intersil Americas Inc. Systems and methods for projector light beam alignment
US20110310005A1 (en) * 2010-06-17 2011-12-22 Qualcomm Incorporated Methods and apparatus for contactless gesture recognition

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
IEEE 802.5v-2001 (Amendment to IEEE Std 802.5, 1998 Edition and IEEE Stds 802.5r and 802.5j, 1998 Edition) 16 Nov. 2001. *

Cited By (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8274037B2 (en) * 2010-01-27 2012-09-25 Intersil Americas Inc. Automatic calibration technique for time of flight (TOF) transceivers
US10031078B2 (en) 2010-01-27 2018-07-24 Intersil Americas LLC Distance sensing by IQ domain differentiation of time of flight (TOF) measurements
US20110181892A1 (en) * 2010-01-27 2011-07-28 Intersil Americas Inc. Automatic calibration technique for time of flight (tof) transceivers
US8912496B2 (en) * 2010-04-13 2014-12-16 Silicon Laboratories Inc. Apparatus with optical functionality and power management and associated methods
US20110248172A1 (en) * 2010-04-13 2011-10-13 Rueger Timothy T Apparatus with optical functionality and power management and associated methods
US11112872B2 (en) * 2011-04-13 2021-09-07 Nokia Technologies Oy Method, apparatus and computer program for user control of a state of an apparatus
US20140033141A1 (en) * 2011-04-13 2014-01-30 Nokia Corporation Method, apparatus and computer program for user control of a state of an apparatus
US9063704B2 (en) * 2011-05-05 2015-06-23 Net Power And Light, Inc. Identifying gestures using multiple sensors
US20120280905A1 (en) * 2011-05-05 2012-11-08 Net Power And Light, Inc. Identifying gestures using multiple sensors
US9298333B2 (en) 2011-12-22 2016-03-29 Smsc Holdings S.A.R.L. Gesturing architecture using proximity sensing
US9122354B2 (en) * 2012-03-14 2015-09-01 Texas Instruments Incorporated Detecting wave gestures near an illuminated surface
US20130241888A1 (en) * 2012-03-14 2013-09-19 Texas Instruments Incorporated Detecting Wave Gestures Near an Illuminated Surface
US10664062B2 (en) 2012-05-11 2020-05-26 Comcast Cable Communications, Llc System and method for controlling a user experience
US20130300644A1 (en) * 2012-05-11 2013-11-14 Comcast Cable Communications, Llc System and Methods for Controlling a User Experience
US11093047B2 (en) 2012-05-11 2021-08-17 Comcast Cable Communications, Llc System and method for controlling a user experience
US9619036B2 (en) * 2012-05-11 2017-04-11 Comcast Cable Communications, Llc System and methods for controlling a user experience
US9081571B2 (en) 2012-11-29 2015-07-14 Amazon Technologies, Inc. Gesture detection management for an electronic device
WO2014085269A1 (en) * 2012-11-29 2014-06-05 Amazon Technologies, Inc. Gesture detection management for an electronic device
US9367137B2 (en) 2013-07-01 2016-06-14 Blackberry Limited Alarm operation by touch-less gesture
US9398221B2 (en) 2013-07-01 2016-07-19 Blackberry Limited Camera control using ambient light sensors
US9423913B2 (en) 2013-07-01 2016-08-23 Blackberry Limited Performance control of ambient light sensors
US9342671B2 (en) 2013-07-01 2016-05-17 Blackberry Limited Password by touch-less gesture
US9489051B2 (en) 2013-07-01 2016-11-08 Blackberry Limited Display navigation using touch-less gestures
US9323336B2 (en) 2013-07-01 2016-04-26 Blackberry Limited Gesture detection using ambient light sensors
US9865227B2 (en) 2013-07-01 2018-01-09 Blackberry Limited Performance control of ambient light sensors
US9928356B2 (en) 2013-07-01 2018-03-27 Blackberry Limited Password by touch-less gesture
US9256290B2 (en) 2013-07-01 2016-02-09 Blackberry Limited Gesture detection using ambient light sensors
US9405461B2 (en) 2013-07-09 2016-08-02 Blackberry Limited Operating a device using touchless and touchscreen gestures
US9465448B2 (en) 2013-07-24 2016-10-11 Blackberry Limited Backlight for touchless gesture detection
US9304596B2 (en) 2013-07-24 2016-04-05 Blackberry Limited Backlight for touchless gesture detection
US9194741B2 (en) 2013-09-06 2015-11-24 Blackberry Limited Device having light intensity measurement in presence of shadows
US11284808B2 (en) 2014-10-11 2022-03-29 Linet Spol. S.R.O. Device and method for measurement of vital functions, including intracranial pressure, and system and method for collecting data
US11076789B2 (en) * 2016-06-22 2021-08-03 Linet Spol. S.R.O Medical data collection system and method of use thereof
US11599199B2 (en) 2019-11-28 2023-03-07 Boe Technology Group Co., Ltd. Gesture recognition apparatus, gesture recognition method, computer device and storage medium
US20230089705A1 (en) * 2021-09-17 2023-03-23 Melexis Bulgaria EOOD Sensing system comprising a chain of sensors
US11933639B2 (en) * 2021-09-17 2024-03-19 Melexis Bulgaria EOOD Sensing system comprising a chain of sensors

Also Published As

Publication number Publication date
TW201203008A (en) 2012-01-16
TWI445993B (en) 2014-07-21
WO2011094364A1 (en) 2011-08-04
WO2011094365A1 (en) 2011-08-04
CN102822691A (en) 2012-12-12
TW201202731A (en) 2012-01-16
US10031078B2 (en) 2018-07-24
US20110181861A1 (en) 2011-07-28
US20110182519A1 (en) 2011-07-28
US8530819B2 (en) 2013-09-10
US8274037B2 (en) 2012-09-25
TW201202730A (en) 2012-01-16
CN106052862B (en) 2018-08-28
TWI439716B (en) 2014-06-01
CN106052862A (en) 2016-10-26
US8760631B2 (en) 2014-06-24
US20110180693A1 (en) 2011-07-28
WO2011094362A1 (en) 2011-08-04
US20110181254A1 (en) 2011-07-28
TWI531809B (en) 2016-05-01
CN102822759A (en) 2012-12-12
US20140327900A1 (en) 2014-11-06
TW201145075A (en) 2011-12-16
US20110181892A1 (en) 2011-07-28
WO2011094361A1 (en) 2011-08-04
WO2011094366A1 (en) 2011-08-04
WO2011094360A1 (en) 2011-08-04
CN102822759B (en) 2014-08-20
TW201432283A (en) 2014-08-16
TW201205047A (en) 2012-02-01

Similar Documents

Publication Publication Date Title
US20110180709A1 (en) Serial-chaining proximity sensors for gesture recognition
CN101944897B (en) Proximity sensors with improved ambient light rejection
US9507051B2 (en) Photoelectric switch for detection of an object and method for operating the same
CN105474147A (en) Capacitive touch system
US9959128B2 (en) Digital sensor system
US10895921B2 (en) Touch sensitive processing apparatus, system and operating method thereof for receiving electrical signals carrying pressure information
US11392221B2 (en) Touch sensitive processing apparatus, system and operating method thereof for receiving electrical signals carrying pressure information
US10758134B2 (en) Sensor, sensor apparatus, and electronic device
US8013714B2 (en) RFID sensor using pulse processing
US10890987B2 (en) Stylus and operating method thereof for transmitting electrical signals carrying pressure information
US8026795B2 (en) RFID sensor array and sensor group based on pulse-processing
JP2008204234A (en) Rfid tag built-in saw (surface acoustic wave) sensor and measurement system
CN206584312U (en) A kind of key mapping and keyboard realized every sky reaction
US11409379B2 (en) Stylus and operating method thereof for transmitting electrical signals carrying pressure information
US20180123688A1 (en) Methods and devices for monitoring optical signals
Jeeva et al. Study of inter-integrated circuit color sensor with microcontroller
CN211234464U (en) Grating device
KR20040085628A (en) Wireless mouse for having Power saving function and power saving method thereof
US10305520B2 (en) Removing RF interference through scan rate locking
US9773200B2 (en) Miniature integrated sensor circuit
KR102344783B1 (en) Touch screen for interlocking with electronic pen
Salameh et al. A personal computer based general purpose control system using general remote control

Legal Events

Date Code Title Description
AS Assignment

Owner name: INTERSIL AMERICAS INC., CALIFORNIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:CRADDOCK, C. WARREN;RITTER, DAVID W.;GOLDEN, PHILIP;REEL/FRAME:025696/0097

Effective date: 20110121

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION