Wellbeing Prediction
Wellbeing Prediction using multi-modal human data and machine learning
Using behavioral, physiological, and weather data collected from wearables and mobile phones, we develop robust personalize models to predict future wellbeing (mood, stress, psychiatric conditions and health) with machine learning/ deep learning methods.
Team
DR. AKANE SANO
Assistant Professor, ECE
Rice University