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)] | 23 Claims |
1. A computer-implemented method for training a machine learning module to identify abnormalities or anomalies corresponding to historically identified conditions associated with one or more individuals in a home environment, comprising:
receiving, by a processor, historical sensor data detected by one or more sensors associated with the home environment;
identifying, by the processor, one or more abnormalities or anomalies in the historical sensor data;
receiving, by the processor, historical condition data indicating historically identified conditions associated with one or more individuals in the home environment, wherein the historically identified conditions include one or more of: a medical condition, a health condition, a cognitive condition, a forgetfulness condition, an insomnia condition, a fatigue condition, a hygiene condition, an emergency condition, or an urgent condition;
analyzing, by the processor, using the machine learning module, the one or more abnormalities or anomalies in the historical sensor data and the historical condition data; and
identifying, by the processor, using the machine learning module, based upon the analysis, the one or more abnormalities or anomalies in the historical sensor data corresponding to one or more of the historically identified conditions associated with the one or more individuals in the home environment.
|