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Generation of Facial Expressions from Emotion Using a Fuzzy Rule Based System

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AI 2001: Advances in Artificial Intelligence (AI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2256))

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Abstract

We propose a fuzzy rule-based system to map representations of the emotional state of an animated agent onto muscle contraction values for the appropriate facial expressions. Our implementation pays special attention to the way in which continuous changes in the intensity of emotions can be displayed smoothly on the graphical face. The rule system we have defined implements the patterns described by psychologists and researchers dealing with facial expressions of humans, including rules for displaying blends of expressions.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Twente, The Netherlands

    The Duy Bui, Dirk Heylen, Mannes Poel & Anton Nijholt

Authors
  1. The Duy Bui
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  2. Dirk Heylen
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  3. Mannes Poel
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  4. Anton Nijholt
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Editor information

Editors and Affiliations

  1. School of Computer and Information Science, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Markus Stumptner  & Dan Corbett  & 

  2. Department of Computer Science, University of Adelaide, 5001, Adelaide, SA, Australia

    Mike Brooks

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© 2001 Springer-Verlag Berlin Heidelberg

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Bui, T.D., Heylen, D., Poel, M., Nijholt, A. (2001). Generation of Facial Expressions from Emotion Using a Fuzzy Rule Based System. In: Stumptner, M., Corbett, D., Brooks, M. (eds) AI 2001: Advances in Artificial Intelligence. AI 2001. Lecture Notes in Computer Science(), vol 2256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45656-2_8

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  • DOI: https://doi.org/10.1007/3-540-45656-2_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42960-9

  • Online ISBN: 978-3-540-45656-8

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