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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/80298

    Title: Learning of Facial Gestures Using SVMs
    Authors: Baltes, J.;Seo, S.;鄭吉泰;Cheng, C. T.;Lau, M. C.;Anderson, J.
    Contributors: 淡江大學電機工程學系
    Keywords: Facial Recognition;SVM;Machine Learning
    Date: 2011
    Issue Date: 2013-01-21 16:27:34 (UTC+8)
    Publisher: Springer Berlin Heidelberg
    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.
    Relation: Communications in Computer and Information Science 212, pp.147-154
    DOI: 10.1007/978-3-642-23147-6_18
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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