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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    Title :

    Learning of Facial Gestures Using SVMs


    Contributors:
    Baltes, Jacky (author) / Seo, Stela (author) / Cheng, Chi Tai (author) / Lau, M. C. (author) / Anderson, John (author)


    Publication date :

    2011-01-01


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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