Origin Wireless, Inc.

Origin Research Wireless, Inc.

Chenshu Wu

Beibei Wang

K J Ray Liu

Oscar Chi-Lim Au

Feng Zhang

Hung-Quoc Duc Lai

Min Wu

David N Claffey

Chen Chen

Chau-Wai Wong

Yuqian Hu

Hangfang Zhang

Muhammed Zahid Ozturk

Yi Han

Qinyi Xu

Zhung-Han Wu

Xiaolu Zeng

Chun-I Chen

Guozhen Zhu

Fengyu Wang

Dan Bugos

Sai Deepika Regani

Weihang Gao

Peng Zan

Yusen Fan

Sakila S Jayaweera

KJ Ray Liu

Methods, apparatus and systems for radio-assisted signal estimation are described. In one example, a described system comprises: a sensor configured to obtain a baseband mixture signal in a venue; a transmitter configured to transmit a first radio signal through a wireless channel of the venue; a receiver configured to receive a second radio signal through the wireless channel; and a processor. The baseband mixture signal comprises a mixture of a first source signal and an additional signal. The first source signal is generated by a first motion of a first object in the venue. The second radio signal differs from the first radio signal due to the wireless channel and at least the first motion of the first object in the venue. The processor is configured for: obtaining a radio feature of the second radio signal, constructing a first adaptive filter for the baseband mixture signal based on the radio feature, filtering the baseband mixture signal using the first adaptive filter to obtain a first output signal, and generating an estimation of the first source signal based on the first output signal.

Method, apparatus, and system for speech enhancement and separation based on audio and radio signals

Methods, apparatus and systems for wireless sensing based on deep learning are described. For example, a described method comprises: transmitting a wireless signal through a wireless multipath channel of a venue, wherein the wireless multipath channel is impacted by a motion of an object in the venue; receiving the wireless signal through the wireless multipath channel of the venue, wherein the received wireless signal differs from the transmitted wireless signal due to the wireless multipath channel and the motion of the object; obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the received wireless signal; computing a plurality of autocorrelation functions based on the TSCI, each autocorrelation function (ACF) computed based on CI of the TSCI in a respective sliding time window; constructing at least one ACF vector, wherein each respective ACF vector is a vector associated with a respective ACF comprising multiple vector elements each associated with a respective time lag, each vector element being a value of the respective ACF evaluated at the respective time lag; rearranging the at least one ACF vector into rearranged ACF data, wherein each ACF vector is a one-dimensional (1D) ACF-block; and performing a wireless sensing task based on a task engine to do a processing using the rearranged ACF data as an input.

Method, apparatus, and system for wireless sensing based on deep learning

Wireless sensing for in-vehicle child presence detection is described. In one example, a described method comprises: obtaining a time series of channel information (TSCI) of a wireless channel in a vehicle; computing a motion statistics (MS) based on channel information (CI) of the TSCI in a time period; detecting a motion of a user in the time period by comparing the motion statistics with a first threshold, wherein the motion of the user is detected when the motion statistics exceed the first threshold; constructing a 2-dimensional (2D) transform matrix based on 1-dimensional (D) transforms of CI of TSCI in sliding time windows in the time period; detecting a number of horizontal streaks of the 2D transform matrix; detecting a breathing motion of the user in the time period based on the number of detected horizontal streaks of the 2D transform matrix and an associated criterion.

Wireless sensing for in-vehicle child presence detection

Methods, apparatus and systems for radio-based voice activity detection are described. In one example, a described system comprises: a transmitter configured to transmit a radio signal through a wireless channel of a venue; a receiver configured to receive the radio signal through the wireless channel, wherein the wireless channel is impacted by a voice activity of a target voice source in the venue; and a processor. The processor is configured for: computing a time series of channel information (CI) of the wireless channel based on the radio signal, and detecting the voice activity of the target voice source based on the time series of CI (TSCI) of the wireless channel, without using any media signal.

Method, apparatus, and system for voice activity detection based on radio signals

Methods, apparatus and systems for wireless sensing based on linkwise motion statistics (link-MS) are described. In one example, a described method comprises: determining a plurality of heterogeneous wireless devices of a wireless sensing system in a venue; determining a plurality of device-links each of comprises two of the heterogeneous wireless devices, one functioning as a transmitter and the other functioning as a receiver; for each respective device-link of the plurality of device-links, transmitting a respective wireless signal from a respective transmitter of the respective device-link through a wireless multipath channel of the venue, wherein the wireless multipath channel is impacted by a motion of an object in the venue, receiving the respective wireless signal by a respective receiver of the respective device-link through the wireless multipath channel, wherein the respective received wireless signal differs from the respective transmitted wireless signal due to the wireless multipath channel of the venue and the motion of the object, obtaining a respective time series of channel information (TSCI) of the wireless multipath channel based on the respective received wireless signal of the respective device-link, computing a respective link-MS for the respective device-link based on the respective TSCI; performing a sensing task associated with the motion of the object based on at least one of: all the TSCI or all the link-MS; and computing a location in the venue associated with the sensing task based on all the link-MS.

Method, apparatus, and system for wireless sensing based on linkwise motion statistics

Methods, apparatus and systems for map reconstruction based on wireless tracking are described. In one example, a described system comprises: a sensor configured to collect sensing data in a venue and obtain a plurality of trajectories, and a processor. Each trajectory is a time series of spatial coordinates (TSSC) representing a path traversed by a respective object in the venue. Each TSSC is accompanied by at least one respective time series of sensing data (TSSD) collected while the respective object traverses the path in the venue. The processor is configured for: segmenting each TSSC and its accompanying at least one TSSD into segments, bundling the plurality of trajectories based on similarity measures between pairs of the segments, fusing the bundled trajectories to generate fused trajectories, computing a shape of the fused trajectories, and generating a map of the venue based on the computed shape.

Method, apparatus, and system for map reconstruction based on wireless tracking

Methods, apparatus and systems for wireless vital sign monitoring are described. In one example, a described system comprises: a transmitter configured to transmit a wireless signal through a wireless channel of a venue; a receiver configured to receive the wireless signal through the wireless channel that is being impacted by an object motion of an object in the venue; and a processor. At least one of the transmitter or the receiver comprises an array of antennas used to transmit or receive the wireless signal. The object motion comprises at least one non-periodic body motion of the object and at least one periodic vital-sign motion of the object. The processor is configured for: segmenting space around the venue into a plurality of sectors based on a beamforming and the received wireless signal, wherein each sector of the plurality of sectors is associated with a spatial direction relative to the array of antennas, obtaining a plurality of time series of channel information (CI) of the wireless channel based on the beamforming, wherein each time series of CI (TSCI) of the plurality of TSCI is associated with a respective sector of the plurality of sectors, isolating the object motion of the object in the plurality of TSCI to generate a plurality of isolated TSCI, compensating for the at least one non-periodic body motion of the object in the plurality of isolated TSCI to generate a plurality of compensated TSCI, and monitoring the at least one periodic vital-sign motion of the object based on the plurality of compensated TSCI.

Method, apparatus, and system for wireless vital monitoring using high frequency signals

Methods, apparatus and systems for radio-based sleep tracking are described. In one example, a described system comprises: a transmitter configured to transmit a first wireless signal through a wireless multipath channel in a venue; a receiver configured to receive a second wireless signal through the wireless multipath channel, wherein the second wireless signal differs from the first wireless signal due to the wireless multipath channel which is impacted by a sleeping motion of an object in the venue; and a processor. The processor is configured for: obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the second wireless signal, wherein each channel information (CI) of the TSCI comprises N1 components, wherein N1 is a positive integer larger than one, computing N1 component-wise analytics each associated with one of the N1 components of the TSCI, identifying N2 largest component-wise analytics among the N1 component-wise analytics, wherein N2 is a positive integer less than N1, computing at least one first motion statistics based on the N2 largest component-wise analytics of the TSCI, and monitoring the sleeping motion of the object based on the at least one first motion statistics.

Method, apparatus, and system for radio based sleep tracking

Methods, apparatus and systems for movement tracking are described. In one example, a described system comprises: at least one sensor configured to generate at least one sensing information (SI); a memory; a processor communicatively coupled to the memory and the at least one sensor; and a set of instructions stored in the memory. The set of instructions, when executed by the processor, cause the processor to: obtain at least one time series of SI (TSSI) from the at least one sensor, analyze the at least one TSSI, track a movement of an object in a venue based on the at least one TSSI, compute an incremental distance associated with the movement of the object in a first incremental time period based on the at least one TSSI, compute a direction associated with the movement of the object in a second incremental time period based on the at least one TSSI, and compute a next location of the object at a next time based on at least one of: a current location of the object at a current time, a current orientation of the object at the current time, the incremental distance, the direction, or a map of the venue.

Method, apparatus, and system for movement tracking

Methods, apparatus and systems for wireless writing tracking are described. In one example, a described system comprises: a transmitter configured for transmitting a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal comprises a reflection of the first wireless signal by a tip of a writing instrument in the venue. The processor is configured for: obtaining a time series of channel information (CI) of the wireless multipath channel based on the second wireless signal, wherein each CI comprises at least one of: a channel state information (CSI), channel impulse response (CIR), channel frequency response (CFR), or received signal strength index (RSSI); and tracking a movement of the tip of the writing instrument based on the time series of CI (TSCI).

Method, apparatus, and system for wireless writing tracking

Methods, apparatus and systems for periodic or transient motion detection, e.g. fall event detection, based on wireless signals are described. In one example, a described system comprises: a transmitter configured for transmitting a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal differs from the first wireless signal due to the wireless multipath channel that is impacted by a target motion of an object in the venue. The processor is configured for: obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the second wireless signal, computing a time series of spatial-temporal information (STI) of the object based on the TSCI, and detecting the target motion of the object based on the time series of STI (TSSTI).

Method, apparatus, and system for fall-down detection based on a wireless signal

Methods, apparatus and systems for wireless proximity sensing are described. In one example, a described system comprises: a transmitter configured for transmitting a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal differs from the first wireless signal due to the wireless multipath channel that is impacted by a movement of an object in the venue. The processor is configured for: obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the second wireless signal, wherein each channel information (CI) of the TSCI comprises a plurality of CI components, each of which is associated with an index; computing an inter-component statistics based on the plurality of CI components; computing, based on the inter-component statistics, a proximity information of the object with respect to a reference location in the venue; and performing a task based on the proximity information of the object.

Method, apparatus, and system for wireless proximity sensing

Methods, apparatus and systems for wireless tracking with graph-based particle filtering are described. A described wireless monitoring system comprises a transmitter transmitting a series of probe signals, a receiver, and a processor. The receiver is configured for: receiving the series of probe signals modulated by the wireless multipath channel and an object moving in a venue, and obtaining a time series of channel information (TSCI) of the wireless multipath channel from the series of probe signals. The processor is configured for: monitoring a motion of the object relative to a map based on the TSCI, determining an incremental distance travelled by the object in an incremental time period based on the TSCI, and computing a next location of the object at a next time in the map based on at least one of: a current location of the object at a current time, the incremental distance, and a direction of the motion during the incremental time period.

Method, apparatus, and system for wireless tracking with graph-based particle filtering

Methods, apparatus and systems for wirelessly tracking keystrokes on a surface are described. In one example, a described system comprises: a transmitter configured for transmitting, using a transmit antenna, a first wireless signal through a wireless channel of a venue including the surface; a receiver configured for receiving, using a plurality of receive antennas, a second wireless signal through the wireless channel, wherein the second wireless signal comprises a reflection of the first wireless signal by at least one moving object in the venue; and a processor. The processor is configured for: obtaining, regarding each receive antenna, a time series of channel information (CI) of the wireless channel based on the second wireless signal, detecting at least one keystroke on the surface based on the time series of CI (TSCI) obtained regarding each receive antenna, determining at least one location of the at least one keystroke on the surface, and determining at least one key associated with the at least one keystroke based on the at least one location.

Method, apparatus, and system for wirelessly tracking keystrokes

Methods, apparatus and systems for human recognition based on one or more gait features detected wirelessly are described. In one example, a described system comprises: a transmitter configured to transmit a first wireless signal through a wireless channel of a venue; a receiver configured to receive a second wireless signal through the wireless channel, wherein the second wireless signal comprises a reflection of the first wireless signal by at least one object in the venue; and a processor. The processor is configured for: obtaining a time series of channel information (CI) of the wireless channel based on the second wireless signal, determining a presence of a person moving in the venue based on the time series of CI (TSCI), extracting at least one gait feature of the person from the TSCI, and recognizing an identity of the person based on the at least one gait feature.

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Hong Kong, China

Chenshu Wu