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文章基本信息

  • 标题:Comparative Study of Hand Gesture Recognition System
  • 本地全文:下载
  • 作者:Rafiqul Zaman Khan ; Noor Adnan Ibraheem
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2012
  • 卷号:2
  • 期号:3
  • 页码:203-213
  • DOI:10.5121/csit.2012.2320
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Human imitation for his surrounding environment makes him interfere in every details of this great environment, hear impaired people are gesturing with each other for delivering a specific message, this method of communication also attracts human imitation attention to cast it on human-computer interaction. The faculty of vision based gesture recognition to be a natural, powerful, and friendly tool for supporting efficient interaction between human and machine. In this paper a review of recent hand gesture recognition systems is presented with description of hand gestures modelling, analysis and recognition. A comparative study included in this paper with focusing on different segmentation, features extraction and recognition tools, research advantages and drawbacks are provided as well.
  • 关键词:Hand posture;hand gesture;human computer Interaction (HCI); Segmentation; Features ;Extraction; Hidden Markov Model (HMM); Artificial Neural Networks (ANNs); Fuzzy C-Mean.
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