Mobisensus: Predicting Your Stress/Mood from Mobile Sensor Data



Can we recognize stress, mood, and health conditions from wearable sensors and mobile-phone usage data? We analyze long-term, multi-modal physiological, behavioral, and social data (electrodermal activity, skin temperature, accelerometer, phone usage, social network patterns) in daily lives with wearable sensors and mobile phones to extract bio-markers related to health conditions, interpret inter-individual differences, and develop systems to keep people healthy.