Emotion analysis in man-machine interaction systems

  • Authors:
  • T. Balomenos;A. Raouzaiou;S. Ioannou;A. Drosopoulos;K. Karpouzis;S. Kollias

  • Affiliations:
  • Image, Video and Multimedia Systems Laboratory, National Technical University of Athens;Image, Video and Multimedia Systems Laboratory, National Technical University of Athens;Image, Video and Multimedia Systems Laboratory, National Technical University of Athens;Image, Video and Multimedia Systems Laboratory, National Technical University of Athens;Image, Video and Multimedia Systems Laboratory, National Technical University of Athens;Image, Video and Multimedia Systems Laboratory, National Technical University of Athens

  • Venue:
  • MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
  • Year:
  • 2004

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Abstract

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.