Generation of facial expressions from emotion using a fuzzy rule based system

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    23 Citations (Scopus)

    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.
    Original languageEnglish
    Title of host publicationAI 2001: Advances in Artificial Intelligence
    Subtitle of host publication14th Australian joint conference on artificial intelligence, Adelaide, Australia, December 10-14, 2001. Proceedings
    EditorsMarkus Stumptner, Dan Corbett, Mike Brooks
    Place of PublicationBerlin
    PublisherSpringer
    Pages83-94
    Number of pages12
    ISBN (Print)978-3-540-42960-9
    DOIs
    Publication statusPublished - 2001
    Event14th Australian Joint Conference on Artificial Intelligence - Adelaide, Australia
    Duration: 10 Dec 200114 Dec 2001

    Publication series

    NameLecture notes in artificial intelligence
    PublisherSpringer
    Number2256
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference14th Australian Joint Conference on Artificial Intelligence
    CountryAustralia
    CityAdelaide
    Period10/12/0114/12/01

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    Keywords

    • IR-60383
    • METIS-205751

    Cite this

    Bui, T. D., Heylen, D. K. J., Poel, M., & Nijholt, A. (2001). Generation of facial expressions from emotion using a fuzzy rule based system. In M. Stumptner, D. Corbett, & M. Brooks (Eds.), AI 2001: Advances in Artificial Intelligence: 14th Australian joint conference on artificial intelligence, Adelaide, Australia, December 10-14, 2001. Proceedings (pp. 83-94). (Lecture notes in artificial intelligence; No. 2256). Berlin: Springer. https://doi.org/10.1007/3-540-45656-2_8