Emotionally Rich Man-machine Intelligent System
The development of a prototype system for human computer interaction than can interpret its users' attitude or emotional state, e.g., activation/interest,boredom, and anger, in terms of their speech and/or their facial gestures and expressions
Linguistic and paralinguistic speech analysis and robust speech recognition, facial expression analysis, interpretation of the user's emotional state using hybrid, neurofuzzy, techniques, while being in accordance with the MPEG-4 standard.
Prof. Stefanos Kollias
Institute of Communications and Computer Systems
Electrical and Computer Engineering Department
National Technical University of Athens
9 Iroon Polytechniou str.
Tel: +3010 7722488
Fax: +3010 7722492