Origin Wireless, Inc.

Origin Research Wireless, Inc.

Hangfang Zhang

Beibei Wang

K J Ray Liu

Oscar Chi-Lim Au

Hung-Quoc Duc Lai

Feng Zhang

Chenshu Wu

Min Wu

David N Claffey

Yi Han

Chen Chen

Qinyi Xu

Chau-Wai Wong

Zhung-Han Wu

Chun-I Chen

Dan Bugos

Chao-Lun Mai

Jeng-Feng Lee

KJ Ray Liu

Zhang-Han Wu

Methods, apparatus and systems for wireless monitoring and tracking are described. In one example, a described method of a wireless monitoring system comprises: transmitting a wireless signal that is impacted by a wireless multipath channel in a venue and a modulation of an object undergoing a motion in the venue, to obtain a set of channel information (CI) of the wireless multipath channel; performing a monitoring task by monitoring the object and the motion; determining a plurality of admissible system states of the wireless monitoring system, wherein each admissible system state is associated with a respective setting of at least one of: the wireless signal, a series of sounding signals in the wireless signal, or the monitoring task; choosing one of the admissible system states to be a system state of the wireless monitoring system based on the monitoring task; and applying a setting associated with the chosen admissible system state to the wireless monitoring system.

Method, apparatus, and system for automatic and adaptive wireless monitoring and tracking

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 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 detecting and monitoring vital signs and other periodic motions of an object are disclosed. In one example, a system for monitoring object motion in a venue is disclosed. The system comprises a transmitter, a receiver, and a vital sign estimator. The transmitter is located at a first position in the venue and configured for transmitting a wireless signal through a wireless multipath channel impacted by a pseudo-periodic motion of an object in the venue. The receiver is located at a second position in the venue and configured for: receiving the wireless signal through the wireless multipath channel impacted by the pseudo-periodic motion of the object in the venue, and obtaining at least one time series of channel information (TSCI) of the wireless multipath channel based on the wireless signal. The vital sign estimator is configured for: determining that at least one portion of the at least one TSCI in a current sliding time window is associated with the pseudo-periodic motion of the object in the venue, and computing a current characteristics related to the pseudo-periodic motion of the object in the current sliding time window based on at least one of: the at least one portion of the at least one TSCI in the current sliding time window, at least one portion of the at least one TSCI in a past sliding time window, and a past characteristics related to the pseudo-periodic motion of the object in the past sliding time window.

Method, apparatus, server and system for vital sign detection and monitoring

Methods, apparatus and systems for detecting and monitoring vital signs in real time are disclosed. In one example, a system for monitoring a repeating motion in a venue is disclosed. The system comprises a transmitter, a receiver, and a repeating motion monitor. The transmitter is located at a first position in the venue and configured for transmitting a wireless signal through a wireless multipath channel impacted by the repeating motion of an object in the venue. The receiver is located at a second position in the venue and configured for: receiving the wireless signal through the wireless multipath channel impacted by the repeating motion of the object in the venue, and obtaining a time series of channel information (CI) of the wireless multipath channel based on the wireless signal. The repeating motion monitor is configured for: monitoring a periodic characteristics of the repeating motion of the object based on the time series of CI.

Method, apparatus, server and system for real-time vital sign detection and monitoring

Apparatus, systems and methods for detecting and monitoring fall-down actions and other transient motions are disclosed. In one example, a system for monitoring a transient motion in a venue is disclosed. The system comprises a transmitter, a receiver, and a transient motion monitor. The transmitter is located at a first position in the venue for transmitting a wireless signal through a wireless multipath channel impacted by the transient motion of an object in the venue. The receiver is located at a second position in the venue for: receiving the wireless signal through the wireless multipath channel, and obtaining a time series of channel information (CI) of the wireless multipath channel based on the wireless signal. The transient motion monitor is configured for: monitoring the transient motion based on the time series of CI, and triggering a response action based on the monitored transient motion.

Apparatus, systems and methods for fall-down detection based on a wireless signal

Apparatus, systems and methods for recognizing and classifying events in a venue based on a wireless signal are disclosed. In one example, a disclosed system comprises a first transmitter, a second transmitter, at least one first receiver, at least one second receiver, and an event recognition engine, in the venue. The first transmitter transmits a training wireless signal through a wireless multipath channel impacted by a known event in the venue in a training time period associated with the known event. Each first receiver receives asynchronously the training wireless signal, and obtains, asynchronously based on the training wireless signal, at least one time series of training channel information of the wireless multipath channel between the first receiver and the first transmitter. The second transmitter transmits a current wireless signal through the wireless multipath channel impacted by a current event in a current time period associated with the current event. Each second receiver receives asynchronously the current wireless signal, and obtains, asynchronously based on the current wireless signal, at least one time series of current channel information of the wireless multipath channel between the second receiver and the second transmitter. The event recognition engine trains a classifier based on the training channel information; and apples the classifier to: classify the current channel information and associate the current event with at least one of: a known event, an unknown event and another event.

Apparatus, systems and methods for event recognition based on a wireless signal

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Greenbelt, MD, United States of America

Hangfang Zhang