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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/103469

    作者: Hsieh, Ching-Tang;Liou, Hsing-Che;Chen, Li-Ming;Chen, Ting-Wen
    贡献者: 電機工程學系暨研究所
    关键词: Taiwan Sign Language (TSL), Sparse Coding, Occlusion
    日期: 2015-07-18
    上传时间: 2015-07-27 14:12:05 (UTC+8)
    出版者: Academy of Taiwan Information Systems Research (ATISR)
    摘要: Sign language plays an important role in communicate with changers that
    hearing improved. However, the sign language in many countries and areas different
    and auto recognition system became the research way in recent year. In this paper, we
    devise a novel method for occlusion processing in Taiwan Sign Language recognition
    system. Our method employs adxl345 and Kinect to extract the feature of signer. Then
    the features are regulated by the dictionary of sparse coding. In final, the HMM model
    and result signs are recognized from the features that corrected by our method. In
    experimental result, we present the data that our employ. Then we describe closing
    test result and future work.
    關聯: International Conference on Internet Studies (NETs 2015)
    显示于类别:[電機工程學系暨研究所] 會議論文


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