An emotional expression monitoring tool for facial videos
Document Type
Conference Proceeding
Date of Original Version
1-1-2017
Abstract
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.
Publication Title, e.g., Journal
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
10586 LNCS
Citation/Publisher Attribution
Mandal, Indrani, Terry Ferguson, Gabriel De Pace, and Kunal Mankodiya. "An emotional expression monitoring tool for facial videos." Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10586 LNCS, (2017): 796-807. doi: 10.1007/978-3-319-67585-5_77.