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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/39008

    Title: Application of neural networks in spatio-temporal hand gesture recognition
    Authors: 蘇木春;Su, Mu-chun;Huang, Hi;Lin, Chia-hsien;Huang, Chen-lee;Lin, Chi-da
    Contributors: 淡江大學電機工程學系
    Date: 1998-05-04
    Issue Date: 2010-04-15 10:45:56 (UTC+8)
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Abstract: Several successful approaches to spatio-temporal signal processing such as speech recognition and hand gesture recognition have been proposed. Most of them involve time alignment which requires substantial computation and considerable memory storage. In this paper, we present a neural-network-based approach to spatio-temporal pattern recognition. This approach employs a powerful method based on hyperrectangular composite neural networks (HRCNNs) for selecting templates, therefore, considerable memory is alleviated. In addition, it greatly reduces substantial computation in the matching process because it obviates time alignment. Two databases consisted of 51 spatio-temporal hand gestures were utilized for verifying its performance. An encouraging experimental result confirmed the effectiveness of the proposed method.
    Relation: Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on (Volume:3 ), pp.2116-2121
    DOI: 10.1109/IJCNN.1998.687186
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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