US 12,333,452 B2
Determining a location of motion detected from wireless signals
Mohammad Omer, Waterloo (CA); and Stephen Arnold Devison, Kitchener (CA)
Assigned to Cognitive Systems Corp., Waterloo (CA)
Filed by Cognitive Systems Corp., Waterloo (CA)
Filed on Dec. 20, 2023, as Appl. No. 18/391,198.
Application 18/391,198 is a continuation of application No. 17/826,263, filed on May 27, 2022, granted, now 11,893,515.
Application 17/826,263 is a continuation of application No. 16/207,673, filed on Dec. 3, 2018, granted, now 11,403,543, issued on Aug. 2, 2022.
Prior Publication US 2024/0202557 A1, Jun. 20, 2024
Int. Cl. G06N 7/01 (2023.01); G06F 17/16 (2006.01); H04W 4/02 (2018.01); H04W 84/18 (2009.01)
CPC G06N 7/01 (2023.01) [G06F 17/16 (2013.01); H04W 4/027 (2013.01); H04W 84/18 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining link disturbance values associated with a plurality of wireless links in a wireless communication network, the link disturbance values representing a level of disturbance detected on each of the plurality of wireless links based on wireless signals exchanged during a first time frame on the plurality of wireless links, each of the wireless links defined between a respective pair of wireless communication devices in the wireless communication network;
obtaining prior probability information representing probabilities that motion occurred at the respective wireless communication devices during a second time frame prior to the first time frame; and
by operation of one or more computer processors of a motion detection system, executing a Bayesian computational framework to determine, based on the link disturbance values and the prior probability information, a location of motion that occurred during the first time frame.