Areas of study:
- Activity Learning - Discovery, Recognition, and Prediction
- Gerontechnology
- Multiple resident profiling
- Automated clinical diagnoses
- Energy-efficient home automation
- Transfer learning between heterogeneous sensor platforms
- Identification of trends and anomalies in smart home sensor data
- Design of just-in-time, context-aware health interventions
- Modeling behavior from continuous smartwatch sensor data in the wild
- Automated assessment of cognitive health
- Automated support for management of chronic health conditions
- Creation of human digital twins from multimodal information
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