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