US 12,303,302 B2
People wellness monitoring
Brian Barbe, Haymarket, VA (US); Alexander Wu, Haymarket, VA (US); Seongyong Lim, Haymarket, VA (US); and Wesley Cheng, Haymarket, VA (US)
Assigned to Stack Inc., Cupertino, CA (US)
Filed by Brian Barbe, Haymarket, VA (US); Alexander Wu, Haymarket, VA (US); Seongyong Lim, Haymarket, VA (US); and Wesley Cheng, Haymarket, VA (US)
Filed on May 24, 2023, as Appl. No. 18/201,628.
Prior Publication US 2024/0389953 A1, Nov. 28, 2024
Int. Cl. A61B 5/00 (2006.01); G08B 21/04 (2006.01); G16H 20/00 (2018.01)
CPC A61B 5/746 (2013.01) [A61B 5/4815 (2013.01); G08B 21/0423 (2013.01); G16H 20/00 (2018.01)] 19 Claims
OG exemplary drawing
 
1. A method to assist a subject, comprising:
capturing streaming data from one or more sensors; applying one or more deep learning models to identify one or more activities of the person; applying one or more directed acyclic graphs (DAGs) to the streaming data and the one or more activities of the person to identify a pattern from the streaming data for alert or notification of one or more predefined conditions affecting wellness; retraining the one or more deep learning models based on the subject's usage patterns; automatically adjusting one or more notification thresholds based on the learned patterns; and generating one or more notifications or alerts to a caregiver or a family member to assist the person based on the learned usage patterns; triggering exit notifications, including the steps of requiring motion in a zone prior to door open, checking for motion 30 seconds after door close, and sending a notification if no motion is detected, and checking for motion 120 seconds after door open and sending a follow-up notification if said motion is detected.