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Description
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.