The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 20, 2022

Filed:

Oct. 02, 2021
Applicants:

Muhammed Zahid Ozturk, Beltsville, MD (US);

Chenshu Wu, Hong Kong, CN;

Beibei Wang, Clarksville, MD (US);

K. J. Ray Liu, Potomac, MD (US);

Oscar Chi-lim AU, San Jose, CA (US);

Inventors:

Muhammed Zahid Ozturk, Beltsville, MD (US);

Chenshu Wu, Hong Kong, CN;

Beibei Wang, Clarksville, MD (US);

K. J. Ray Liu, Potomac, MD (US);

Oscar Chi-Lim Au, San Jose, CA (US);

Assignee:

ORIGIN WIRELESS, INC., Greenbelt, MD (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 7/41 (2006.01); H04W 4/02 (2018.01); G01S 13/58 (2006.01); G01S 7/35 (2006.01);
U.S. Cl.
CPC ...
G01S 7/415 (2013.01); G01S 7/354 (2013.01); G01S 7/356 (2021.05); G01S 13/584 (2013.01); H04W 4/023 (2013.01);
Abstract

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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