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Projects 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.

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[mit][media lab + Room E15-419 + 20 Ames Street + Cambridge, MA 02139]