English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 58335/91896 (63%)
造訪人次 : 5655      線上人數 : 63
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    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/987654321/39008

    題名: Application of neural networks in spatio-temporal hand gesture recognition
    作者: 蘇木春;Su, Mu-chun;Huang, Hi;Lin, Chia-hsien;Huang, Chen-lee;Lin, Chi-da
    貢獻者: 淡江大學電機工程學系
    日期: 1998-05-04
    上傳時間: 2010-04-15 10:45:56 (UTC+8)
    出版者: Institute of Electrical and Electronics Engineers (IEEE)
    摘要: 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.
    關聯: 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
    顯示於類別:[電機工程學系暨研究所] 會議論文


    檔案 描述 大小格式瀏覽次數
    0780348591_3p2116-2121.pdf640KbAdobe PDF516檢視/開啟



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋