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Biometrical monitoring of Chronically ill and Support through a Virtual Agent
Jun 2018 - May 2020
Main researcher
IIIA Collaborators
Project description

Design of a Machine Learning (ML) system that monitors biometric signals of patients with chronical diseases, to detect medical crisis in an early stage while increasing their autonomy. The system is composed by a smart garment that collects the biomedical data and provides feedback, connected with a 3D virtual agent app that interacts with the patient and applies gamification strategies to revert risky situations. A report service for clinicians completes the system.

Research Line
Machine Learning for Healthcare