An emotional expression monitoring tool for facial videos

Indrani Mandal, University of Rhode Island
Terry Ferguson, University of Rhode Island
Gabriel De Pace, University of Rhode Island
Kunal Mankodiya, University of Rhode Island


The proliferation of mobile devices and the ubiquitous nature of cameras today serve to increase the importance of Emotionally Aware Computational Devices. We present a tool to help clinicians and mental health professionals to monitor and assess patients by providing an automated appraisal of a patient’s mood as determined from facial expressions. The App takes video as input from a patient and creates an annotated, configurable record for the clinician as output accessible from mobile devices, Internet or IoT devices.