US 11,916,635 B2
Self-learning based on Wi-Fi-based monitoring and augmentation
Michel Allegue Martinez, Terrebonne (CA); Negar Ghourchian, Montreal (CA); David Grant, Santa Rosa Valley, CA (US); Francois Morel, Kirkland (CA); and Pascal Paradis-Theberge, Montreal (CA)
Assigned to Aerial Technologies Inc., Montreal (CA)
Filed by AERIAL TECHNOLOGIES INC., Montreal (CA)
Filed on Mar. 21, 2023, as Appl. No. 18/124,347.
Application 18/124,347 is a continuation of application No. 17/392,678, filed on Aug. 3, 2021, granted, now 11,611,382, issued on Mar. 21, 2023.
Application 17/392,678 is a continuation of application No. 16/795,219, filed on Feb. 19, 2020, granted, now 11,082,109, issued on Aug. 3, 2021.
Claims priority of provisional application 62/809,393, filed on Feb. 22, 2019.
Claims priority of provisional application 62/809,421, filed on Feb. 22, 2019.
Prior Publication US 2023/0299832 A1, Sep. 21, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04B 7/06 (2006.01); H04L 1/00 (2006.01); H04L 5/00 (2006.01); H04W 4/029 (2018.01); H04W 24/08 (2009.01)
CPC H04B 7/0626 (2013.01) [H04L 1/0026 (2013.01); H04L 5/0023 (2013.01); H04L 5/0057 (2013.01); H04W 4/029 (2018.02); H04W 24/08 (2013.01)] 2 Claims
OG exemplary drawing
 
1. A method for self-learning based on Wi-Fi-based localization and augmentation, the method comprising:
providing a non-transitory computer-readable storage medium storing thereon computer executable instructions which configure an electronic device to execute a process comprising:
comparing a first set of data received from a wireless access point to a second set of data received from an Internet of Things (IoT) device to identify when the first set of data differs from the second set of data; and
updating a profile database based on the comparison by replacing the first set of data with the second set of data when the first set of data is determined to be different from the second set of data; wherein
the first set of data is associated with a frequency response determined using channel state information acquired by the wireless access point; and
the wireless access point and the IoT device are each located in proximity to a monitored space.