Feng ZhangGlen Allen, VA

2021013, May 6, 2021

Jan 14, 2021

17/149625

Feng Zhang - Greenbelt MD, US
Beibei Wang - Clarksville MD, US
Hung-Quoc Duc Lai - Parkville MD, US
K. J. Ray Liu - Potomac MD, US
Oscar Chi-Lim Au - San Jose CA, US

H04W 4/021
H04B 17/309
H04W 4/02

Methods, apparatus and systems for wireless monitoring for motion detection and localization are described. In one example, a described system comprises: Type 1 devices; Type 2 devices; and a processor. Each Type 2 device is configured for: asynchronously receiving, from each of a respective subset of Type 1 devices associated with the Type 2 device, a respective wireless signal through a respective wireless multipath channel impacted by a motion of an object in a venue; asynchronously receiving, from each of a subset of a respective set of at least one other Type 2 device interconnected wirelessly with the Type 2 device, a respective wireless signal through a respective wireless multipath channel impacted by the motion of the object; and obtaining a set of asynchronous time series of channel information (ATSCI), wherein each ATSCI is associated with a respective wireless multipath channel and is obtained based on the asynchronously received respective wireless signal. The processor is configured for monitoring the motion of the object based on the set of ATSCI associated with each Type 2 device.

2021009, Mar 25, 2021

Dec 5, 2020

17/113023

Feng Zhang - Greenbelt MD, US
Beibei Wang - Clarksville MD, US
Hung-Quoc Duc Lai - Parkville MD, US
Oscar Chi-Lim Au - San Jose CA, US
K. J. Ray Liu - Potomac MD, US

H04B 17/309

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.

2020039, Dec 24, 2020

Aug 1, 2020

16/945837

Feng Zhang - Greenbelt MD, US
Beibei Wang - Clarksville MD, US
Chenshu Wu - Greenbelt MD, US
Min Wu - Clarksville MD, US
Dan Bugos - Washington DC, US
Hangfang Zhang - Greenbelt MD, US
Oscar Chi-Lim Au - San Jose CA, US

A61B 5/00
A61B 5/113

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.

2020036, Nov 19, 2020

Aug 1, 2020

16/945827

Dan Bugos - Washington DC, US
Feng Zhang - Greenbelt MD, US
Chun-Chia Jack Shih - Hanover MD, US
Beibei Wang - Clarksville MD, US
Oscar Chi-Lim Au - San Jose CA, US

H04B 17/309
H04B 17/24
H04B 17/21
H04B 7/08
H04B 17/391
G01S 11/02

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.

2020031, Oct 8, 2020

Jun 23, 2020

16/909940

- Greenbelt MD, US
Beibei WANG - Clarksville MD, US
K. J. Ray LIU - Potomac MD, US
Hung-Quoc Duc LAI - Parkville MD, US
Feng ZHANG - Greenbelt MD, US
Chenshu WU - Greenbelt MD, US
David N. CLAFFEY - Somerville MA, US

ORIGIN WIRELESS, INC. - Greenbelt MD

G01S 13/00
G01S 13/50
G01S 7/41
H04W 48/08
H04W 56/00

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 multi path 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.

2020030, Sep 24, 2020

May 10, 2020

16/871006

- Greenbelt MD, US
Beibei WANG - Clarksville MD, US
Chenshu WU - Greenbelt MD, US
Feng ZHANG - Greenbelt MD, US
K. J. Ray LIU - Potomac MD, US
Oscar Chi-Lim AU - San Jose CA, US

ORIGIN WIRELESS, INC. - Greenbelt MD

G01S 7/41
A61B 5/08
A61B 5/024
A61B 5/00
A61B 5/11
A61B 5/0245
A61B 5/05
G01S 13/00

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.

2020030, Sep 24, 2020

May 10, 2020

16/871004

- Greenbelt MD, US
Beibei WANG - Clarksville MD, US
Sai Deepika REGANI - Hyattsville MD, US
Feng ZHANG - Greenbelt MD, US
Chenshu WU - Greenbelt MD, US
Dan BUGOS - Washington DC, US
Chun-Chia Jack SHIH - Hanover MD, US
K. J. Ray LIU - Potomac MD, US
Oscar Chi-Lim AU - San Jose CA, US

ORIGIN WIRELESS, INC. - Greenbelt MD

G06K 9/00
H04B 7/12

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.

2020027, Aug 27, 2020

May 10, 2020

16/870996

- Greenbelt MD, US
Feng ZHANG - Greenbelt MD, US
Yusen FAN - Greenbelt MD, US
Beibei WANG - Clarksville MD, US
K. J. Ray LIU - Potomac MD, US
Oscar Chi-Lim AU - San Jose CA, US

ORIGIN WIRELESS, INC. - Greenbelt MD

G01S 5/02
G01P 15/18
H04W 4/029

Methods, apparatus and systems for wireless inertial measurement are described. In one embodiment, a described system comprises a transmitter transmitting a wireless signal, a receiver, and a processor. The receiver is configured for: receiving the wireless signal through a wireless multipath channel, and extracting a plurality of time series of channel information (TSCI) of the wireless multipath channel from the wireless signal. One of the transmitter and the receiver is a stationary device, and the other one is a moving device moving with an object. The processor is configured for: determining that a first channel information (CI) at a first time of a first TSCI associated with a first antenna of the moving device matches a second CI at a second time of a second TSCI associated with a second antenna of the moving device, wherein both the first TSCI and the second TSCI are associated with a same antenna of the stationary device; computing at least one movement parameter and a spatial-temporal information (STI) of the moving device; and tracking at least one of the object and the moving device based on the STI.