Origin Wireless, Inc.

Amazon Technologies, Inc.

Origin Research Wireless, Inc.

Feng Zhang

Beibei Wang

K J Ray Liu

Oscar Chi-Lim Au

Chenshu Wu

Hung-Quoc Duc Lai

Chen Chen

Yi Han

Qinyi Xu

David N Claffey

Chau-Wai Wong

Zhung-Han Wu

Hangfang Zhang

Min Wu

Chun-I Chen

Zoltan Safar

Dan Bugos

Yuqian Hu

Fengyu Wang

Xiaolu Zeng

Jeng-Feng Lee

Chun-Chia Jack Shih

Avinash Joshi

Yan Chen

Pratik Kalpesh Patel

Koohyun Um

Chao-Lun Mai

Xi Chen

Sai Deepika Regani

Muhammed Zahid Ozturk

Mohammed Rana Basheer

James J Wolfe

Piyush Tayal

Xiaofu Ma

Cong Phuoc Huynh

Masato Marumo

Yusen Fan

Yexin Cao

Kj Ray Liu

Thomas Nelson Buttermore, Jr

KJ Ray Liu

Zhang-Han Wu

Technologies directed to respiration monitoring based on noise channel state information (CSI) data are described. A method includes receiving CSI data representing channel properties of a wireless channel used by a first wireless device and a second wireless device located in a geographical region. The method generates a set of CSI samples by sampling the CSI data and removes one or more outlier CSI samples using a sparse outlier process, and removes a cluster of outlier samples using a cluster outlier process. The method determines Fast Fourier Transform (FFT) data for each channel subcarrier index and a signal-to-noise ratio (SNR) value for each channel subcarrier index, and identifies a first number of channel subcarrier indexes having highest SNR values to obtain a subset of FFT data, which represents a breathing spectrum. The method determines a respiratory rate of a user in the geographical region from the subset of the FFT data.

Respiration monitoring based on noisy channel state information (CSI) data

Methods, apparatus and systems for counting and recognizing objects or people based on rhythmic motion monitoring are described. A described method comprises: obtaining N1 time series of channel information (TSCI) of a wireless multipath channel that is impacted by a rhythmic motion of an object in a venue, wherein the N1 TSCI is extracted from a wireless signal transmitted from a transmitter to a receiver through the wireless multipath channel; decomposing each of the N1 TSCI into N2 time series of channel information components (TSCIC), wherein a channel information component (CIC) of each of the N2 TSCIC at a time comprises a respective component of a channel information (CI) of the TSCI at the time, wherein N1 and N2 are positive integers; monitoring the rhythmic motion of the object based on at least one of: the N1*N2 TSCIC and the N1 TSCI.

Method, apparatus, and system for people counting and recognition based on rhythmic motion monitoring

Methods, apparatus and systems for vehicle wireless monitoring are described. In one example, a described method comprises: transmitting a first wireless signal from a first wireless device through a wireless multipath channel of a venue, the venue comprising a vehicle and an immediate vicinity of the vehicle; receiving a second wireless signal by a second wireless device in the venue through the wireless multipath channel, wherein the second wireless signal differs from the first wireless signal due to the wireless multipath channel and a modulation by an object undergoing a motion in the venue; obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the second wireless signal; and performing a monitoring task by monitoring, based on the TSCI, at least one of: the vehicle, the object or the motion of the object.

Method, apparatus, and system for vehicle wireless monitoring

Methods, apparatus and systems for wireless gait recognition and rhythmic motion monitoring are described. In one example, a described system comprises: a transmitter, a receiver, and a processor. The transmitter is configured for transmitting a first wireless signal towards an object in a venue through a wireless multipath channel of the venue. The receiver is configured for: receiving a second wireless signal through the wireless multipath channel between the transmitter and the receiver. The second wireless signal differs from the first wireless signal due to the wireless multipath channel which is impacted by a rhythmic motion of the object. The processor is configured for: obtaining a time series of channel information (CI) of the wireless multipath channel based on the second wireless signal, monitoring the rhythmic motion of the object based on the time series of CI (TSCI), and triggering a response action based on a result of the monitoring.

Method, apparatus, and system for wireless gait recognition

A method and system including a monitoring device to detect, during a session, a set of radar signals associated with first respiratory-related movements of a first person and second respiratory-related movements of a second person located within a detection zone comprising at least a portion of a bed. The method and system dynamically generate an out-of-bed zone adjacent to a side of the bed. The out-of-bed zone is monitored to detect motion within the zone to determine when the first person exits and enters the bed. The method and system identify a portion of the set of radar signals collected during a time period when the first person is determined to be out of the bed. The identified portion of the set of radar signals is removed from the set of radar signals collected during the sleep session.

Out-of-bed zone generation and monitoring associated with respiratory activity tracking

Methods, apparatus and systems for improving accuracy and efficiency of wireless monitoring are described. In one example, a described method comprises: transmitting a first wireless signal from a first wireless device with transmit antennas through a wireless multipath channel of a venue; receiving a second wireless signal by a second wireless device with receive antennas through the wireless multipath channel, wherein the second wireless signal differs from the first wireless signal due to the wireless multipath channel that is impacted by a motion of an object in the venue; obtaining a number of time series of channel information (TSCI) of the wireless multipath channel based on the second wireless signal, wherein each TSCI is associated with a respective one of the transmit antennas and a respective one of the receive antennas; preprocessing the number of TSCI; and monitoring the motion of the object based on the number of preprocessed TSCI.

Method, apparatus, and system for accurate wireless monitoring

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 wireless sensing are described. In one embodiment, a described presentation system comprises: a presentation device with a user-interface; a processor communicatively coupled to the presentation device; a memory communicatively coupled to the processor; and a set of instructions stored in the memory. The set of instructions, when executed by the processor, causes the processor to perform: determining a plurality of time series of analytics (TSA) associated with a lifelog of a living object, determining a common time axis for the plurality of TSA, and generating a presentation that presents the plurality of TSA synchronously and jointly in a hybrid manner based on the common time axis. The presentation is presented on the user-interface of the presentation device.

Method, apparatus, and system for processing and presenting life log based on a wireless signal

Methods, apparatus and systems for wireless sleep monitoring are disclosed. In one embodiment, a described sleep monitoring system comprises: at least one sensor in a venue, wherein the at least one sensor comprises a wireless non-contact sensor having no physical contact with the user; a processor communicatively coupled to the at least one sensor; a memory communicatively coupled to the processor; and a set of instructions stored in the memory. The set of instructions, when executed by the processor, causes the processor to perform: obtaining, based on the at least one sensor, a plurality of time series of sensing features (TSSF) associated with a sleep motion of a user in the venue, and monitoring the sleep motion of the user jointly based on the plurality of TSSF. At least one TSSF of the plurality of TSSF is obtained by: communicating, based on the wireless non-contact sensor, a wireless signal in a wireless multipath channel of the venue, extracting a time series of channel information (TSCI) of the wireless multipath channel of the venue from the wireless signal, and obtaining the at least one TSSF based on the TSCI.

Method, apparatus, and system for wireless sleep monitoring

Methods, apparatus and systems for wireless vital signs monitoring are described. In one embodiment, a described system comprises: a transmitter, a receiver, a processor. The transmitter transmits, using N1 transmit antennas, a wireless signal through a wireless multipath channel of a venue, while a first object in the venue is having a first repetitive motion. The receiver receives, using N2 receive antennas, the wireless signal through the wireless multipath channel, and extracts a plurality of time series of channel information (TSCI) of the wireless multipath channel from the wireless signal. N1 and N2 are positive integers. Each of the plurality of TSCI is associated with a transmit antenna of the transmitter and a receive antenna of the receiver. The processor computes a first information of the first repetitive motion based on the plurality of TSCI, and monitors the first repetitive motion of the first object based on the first information.

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

Methods, apparatus and systems for outdoor target tracking are described. In one example, a described system comprises: a transmitter, a receiver, and a processor. The transmitter is configured for transmitting a first wireless signal through a wireless multipath channel. The receiver is configured for receiving a second wireless signal through the wireless multipath channel. One of the transmitter and the receiver is a located device at a known location. The other of the transmitter and the receiver is a moving device. The second wireless signal differs from the first wireless signal due to the wireless multipath channel which is impacted by a movement of the moving device. The processor is configured for: obtaining a plurality of time series of channel information of the wireless multipath channel based on the second wireless signal, computing a spatial-temporal information (STI), and tracking the moving device based on the STI.

Method, apparatus, and system for outdoor target tracking

Methods, apparatus and systems for qualified wireless sensing are described. In one embodiment, a described method comprises: transmitting a wireless signal from a Type 1 device to a Type 2 device through a wireless multipath channel of a venue; obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the wireless signal; performing a qualification test based on the TSCI for at least one to-be-qualified device, which is at least one of: the Type 1 device, a module of the Type 1 device, an integrated circuit (IC) of the Type 1 device, the Type 2 device, a module of the Type 2 device, or an IC of the Type 2 device; determining that each of the at least one to-be-qualified device is a qualified device based on a determination that a respective qualification criterion associated with the to-be-qualified device is satisfied, to obtain at least one qualified device; and performing a task based on the TSCI using the at least one qualified device.

Method, apparatus, and system for qualified wireless sensing

Methods, apparatus and systems for wireless object tracking are described. In one example, a described wireless tracking system comprises: a transmitter, a receiver, and a processor. The transmitter is configured for transmitting a first wireless signal using a plurality of transmit antennas towards at least one object in a venue through a wireless multipath channel of the venue. The receiver is configured for: receiving a second wireless signal using a plurality of receive antennas through the wireless multipath channel between the transmitter and the receiver. The second wireless signal differs from the first wireless signal due to the wireless multipath channel and a modulation of the first wireless signal by the at least one object. The processor is configured for obtaining a set of channel information (CI) of the wireless multipath channel based on the second wireless signal received by the receiver, and tracking the at least one object simultaneously based on the set of CI. Each CI in the set is associated with a respective one of the plurality of transmit antennas and a respective one of the plurality of receive antennas.

Method, apparatus, and system for wireless object tracking

Growing community of inventors

Greenbelt, MD, United States of America

Feng Zhang