Abstract: This invention proposes a solution by including numerous environmental factors and sensor input to provide additional context for an appropriate Lighting setting at any particular moment. The invention will continually evaluate and adjust lighting behavior based on numerous factors.

Abstract: Systems and methods are disclosed for encouraging physical activity among one or more subjects by using sensors to track motion and other physical activity of the subject; creating an activity index based on the tracked data to measure overall activity levels; and providing feedback to the senior through a chatbot or other interface to encourage physical activity and suggest changes to their routines.

Abstract: Systems and methods are disclosed to assist a subject by 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.

Abstract: This invention proposes a solution by including numerous environmental factors and sensor input to provide additional context for an appropriate Lighting setting at any particular moment. The invention will continually evaluate and adjust lighting behavior based on numerous factors.

Abstract: Systems and methods are disclosed to provide personalized care for a subject by capturing streaming data from one or more sensors; applying one or more deep learning models to identify one or more activities of the person; and providing a chatbot interface accessible through a voice assistant device that initiates an exercise session per day and guides the subject through the exercise, the chatbot interface further adapted to learn and remember information about the resident through a chat history, thereby personalizing its interactions with the resident and encouraging engagement; and the chatbot interface further adapted to initiate interesting conversations throughout the day and gauge the overall well-being of the resident.

Abstract: Systems and methods are disclosed to monitor wellness of a person by 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; and generating one or more notifications or alerts to a caregiver or a family member to assist the person.

Abstract: Systems and methods are disclosed for encouraging physical activity among one or more subjects by using sensors to track motion and other physical activity of the subject; creating an activity index based on the tracked data to measure overall activity levels; and providing feedback to the senior through a chatbot or other interface to encourage physical activity and suggest changes to their routines.