淡江大學機構典藏:Item 987654321/55143
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/55143


    Title: Real-time Hand Gesture Recognition by Shape Context Based Matching and Cost Matrix
    Authors: Deng, Lawrence Y.;Hung, Jason C.;Keh, Huan-Chao;Lin, Kun-Yi;Liu, Yi-Jen;Huang, Nan-Ching
    Contributors: 淡江大學資訊工程學系
    Keywords: Hand Gesture Recognition;Shape Matching;Cost Matrix and Human-Computer Interface
    Date: 2011-05
    Issue Date: 2011-08-17 11:27:35 (UTC+8)
    Publisher: Oulu: Academy Publisher
    Abstract: How to recognize the shape gesture for new human-computer interface without controller required and bring entertainment, games industries and information appliances in new ways. In this paper, we would illustrate a real-time hand gesture recognition system by using shape context matching and cost matrix. The shape context is taken as a basis description for shape matching. It can be regarded as a global characterization descriptor to represent the distribution of points in a set with scale and rotation invariance. In this paper, we developed a perceptual interface for human-computer-interaction based on real-time hand gesture recognition. User could interact with computer program by performing body gesture instead of physical contact. The image of hand gesture was captured from CCD. The hand gesture image was transformed into proper instruction according to the shape information respectively. The instruction was transferred to an appropriate program to execute. The experience of our preliminary results shown the precision rates was up to 70% ~ 90%.
    Relation: Journal of Networks 6(5), pp.697-704
    DOI: 10.4304/jnw.6.5.697-704
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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