This project focuses on mobile sensing for health applications such as monitoring of sleep, stress and social routines. Our work is developing a new approach called non-intrusive health monitoring, which emphasizes passive sensing of user behavior in a privacy-preserving and non-intrusive manner. Our approaches combine mobile sensing, systems, and machine learning for continuous monitoring and to derive health insights. Ongoing work focuses on the following topics
- Passive wifi sensing of sleep
- Privacy-preserving health monitoring
- Monitoring of group and social interactions
