Development of a Smart e-Coach System for Automatic Generation of Personalized Recommendations for Lifestyle Support and Prevention of Non-Communicable Diseases
This project aims to model an intelligent e-Coach platform for automatic generation of meaningful, observational and empirical evidence-based, context-specific, personalized recommendations to achieve personal wellness goals, addressing obesity as a study case. The digital e-Coaching platform will capture physiological, behavioral (sleep, diet, exercise) and contextual data from secure wearable sensors, manual interactions, feedback, customized questionnaires over time, to train machine learning model for behavior analysis, early prediction of wellness trends and risks. Once risk prediction is over, the e-Coaching platform will reinforce recommendations at target individuals in order to improve their well-being, health and physical performance by optimizing individual lifestyle factors.
Collaboration with the Faculty of Engineering and Science at the University of Agder.