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  • 标题:Gesture Recognition: A Survey of Gesture Recognition Techniques Using Neural Networks
  • 本地全文:下载
  • 作者:Mahesh Sharma ; Rama Chawla
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2013
  • 卷号:4
  • 期号:2
  • 页码:239-240
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Understanding human motions can be posed as a pattern recognition problem. In order to convey visual messages to a receiver, a human expresses motion patterns. Loosely called gestures, these patterns are variable but distinct and have an associated meaning. The Pattern recognition by any computer or machine can be implemented via various methods such as Hidden Harkov Models, Linear Programming and Neural Networks. Each method has its own advantages and disadvantages, which will be studied separately later on. This paper reviews why using ANNs in particular is better suited for analyzing human motions patterns.
  • 关键词:Gesture Recognition;Artificial Neural Networks;Pattern Recognition
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