Abstract This paper describes the implementation of a fast and accurate gesture recognition system. Image sequences are used to train a standard SVM to recognize Yes, No, and Neutral gestures from different users. We show that our system is able to detect facial gestures with more than 80% accuracy from even small input images.


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    Titel :

    Learning of Facial Gestures Using SVMs


    Beteiligte:
    Baltes, Jacky (Autor:in) / Seo, Stela (Autor:in) / Cheng, Chi Tai (Autor:in) / Lau, M. C. (Autor:in) / Anderson, John (Autor:in)


    Erscheinungsdatum :

    2011-01-01


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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