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.
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