US 11,869,328 B2
Sensing peripheral heuristic evidence, reinforcement, and engagement system
Aaron Williams, Congerville, IL (US); Joseph Robert Brannan, Bloomington, IL (US); Christopher N. Kawakita, Normal, IL (US); and Dana C. Hunt, Normal, IL (US)
Assigned to STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed by STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed on Jul. 7, 2022, as Appl. No. 17/859,856.
Application 17/859,856 is a continuation of application No. 17/368,771, filed on Jul. 6, 2021.
Application 17/368,771 is a continuation of application No. 16/169,517, filed on Oct. 24, 2018, granted, now 11,094,180.
Claims priority of provisional application 62/658,682, filed on Apr. 17, 2018.
Claims priority of provisional application 62/654,975, filed on Apr. 9, 2018.
Prior Publication US 2022/0343746 A1, Oct. 27, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G08B 21/04 (2006.01); G16H 80/00 (2018.01); G06N 20/00 (2019.01)
CPC G08B 21/0484 (2013.01) [G06N 20/00 (2019.01); G08B 21/0423 (2013.01); G08B 21/0469 (2013.01); G08B 21/0476 (2013.01); G16H 80/00 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for identifying a condition associated with an individual in a home environment, comprising:
training, by one or more processors, a neural network model using a dataset associated with a home environment, wherein training the neural network model comprises adding one or more layers to the neural network model, wherein at least one layer of the one or more layers is associated with at least one selected from a group consisting of an activation function, a loss function, and an optimization function;
capturing data detected by a plurality of sensors associated with the home environment;
analyzing, by the one or more processors, the captured data using the trained neural network model to identify one or more abnormalities or anomalies;
determining, by the one or more processors, that the one or more abnormalities or anomalies indicate one or more atypical behaviors of the individual in the home environment;
identifying, by the one or more processors, a condition associated with the one or more atypical behaviors of the individual; and
generating, by the one or more processors, a notification indicating the condition associated with the individual, wherein the notification comprises a snapshot report generated periodically and the snapshot report includes an indication of the condition associated with the individual and a change from a prior snapshot report.