T. Balomenos, A. Raouzaiou, S. Ioannou, A. Drosopoulos, K. Karpouzis, and S. Kollias |
Emotion Analysis In Man-Machine Interaction Systems |
Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI04), Geneva |
ABSTRACT
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Facial expression and hand gesture analysis plays a fundamental part in emotionally rich man-machine interaction (MMI) systems, since it employs universally accepted non-verbal cues to estimate the users¢ emotional state. In this paper, we present a systematic approach to extracting expression related features from image sequences and inferring an emotional state via an intelligent rule-based system. MMI systems can benefit from these concepts by adapting their functionality and presentation with respect to user reactions or by employing agent-based interfaces to deal with specific emotional states, such as frustration or anger.
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23 June , 2004 |
T. Balomenos, A. Raouzaiou, S. Ioannou, A. Drosopoulos, K. Karpouzis, and S. Kollias, "Emotion Analysis In Man-Machine Interaction Systems", Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI04), Geneva |
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