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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

Adopted technologies:
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


Last updated Thu, 01/01/1970 00:00:00 GMT
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