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.
Patent No.:
Date of Patent:
Nov. 26, 2024
Filed:
May. 08, 2023
Muhammed Zahid Ozturk, Beltsville, MD (US);
Sai Deepika Regani, Campbell, CA (US);
Beibei Wang, Clarksville, MD (US);
K. J. Ray Liu, Potomac, MD (US);
Hung-quoc Duc Lai, Parkville, MD (US);
Yi Han, Ellicott City, MD (US);
Oscar Chi-lim AU, Rockville, MD (US);
Muhammed Zahid Ozturk, Beltsville, MD (US);
Sai Deepika Regani, Campbell, CA (US);
Beibei Wang, Clarksville, MD (US);
K. J. Ray Liu, Potomac, MD (US);
Hung-Quoc Duc Lai, Parkville, MD (US);
Yi Han, Ellicott City, MD (US);
Oscar Chi-Lim Au, Rockville, MD (US);
ORIGIN RESEARCH WIRELESS, INC., Rockville, MD (US);
Abstract
Methods, apparatus and systems for wireless monitoring with improved accuracy are described. In one 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, wherein the received wireless signal differs from the transmitted wireless signal due to the wireless multipath channel and the motion; obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the received wireless signal; performing a classification of a sliding time window by analyzing channel information (CI) of the TSCI in the sliding time window; computing a motion information (MI) for the sliding time window based on the TSCI and the classification of the sliding time window; and monitoring the motion of the object based on the MI.