淡江大學機構典藏:Item 987654321/75496
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/75496


    Title: Learning of Facial Gestures Using SVMs
    Authors: 鄭吉泰
    Contributors: 淡江大學電機工程學系
    Keywords: Facial Recognition;SVM;Machine Learning
    Date: 2011
    Issue Date: 2012-03-29 16:35:36 (UTC+8)
    Publisher: Berlin, Heidelberg : Springer-Verlag GmbH 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: Next Wave in Robotics (Communications in Computer and Information Science 212),　p.147-154
    DOI: 10.1007/978-3-642-23147-6_18
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Chapter

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