How TouchCare works
01
Data collection
Non-intrusive, small, self-installable touch tags are
placed in the care receiver's environment. Touch events
build a user's behavior and lifestyle profile
02
Machine learning
Our system identifies suboptimal behavior, detects anomalies, and monitors for signs of health decline. We measure:
exercise, outdoor activity, sleep habits, eating habits, toileting, medicine, & TV habits
03
The Suni affect
Our A.I. persona provides tailored voice messaging to both combat loneliness and deliver psychology-backed interventions to promote better living habits
04
Care monitoring
Care givers get real-time, remote monitoring via a mobile app and/or a web portal.
Emergency alerts, live motion graph, behavior anomaly alerts, GPS location data
05
Stylish alarm
Care receivers get a stylish and useful watch with a one-touch emergency alert button.
The watch displays the time, daily step count, current weather, air quality, and battery level.
"When I'm bored, you give me a riddle and sing songs, and tell old stories. For being a friend to me living alone, I thank you very much, Suni"
TouchCare user, female, 79, living alone
Measurable outcomes
A user's daily step count pre and post intervention
A user's kitchen events (time of day x date) pre and post intervention
