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文章基本信息

  • 标题:Hand & Upper Body Based Hybrid Gesture Recognition
  • 本地全文:下载
  • 作者:Prerna Sharma ; Naman Sharma
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:2
  • 页码:1258-1262
  • 出版社:TechScience Publications
  • 摘要:Communication in today’s world is performed through the vocal sounds and body language. Vocal sounds are main tool for interaction, where body language and facial expressions also have important support. Even in few cases, interacting with physical world by using expressive movements like gestures and postures is much easier. In this paper, an approach is designed for Upper Body Pose Recognition and Hand Gesture Classification. This approach focuses on vision based technique. 6 classes of poses and 6 gesture classes are recognized during the testing process of this approach and neural network is used for classification.
  • 关键词:Singular Value Decomposition (SVD); Principal;Component Analysis (PCA); Artificial Neural Network (ANN);Pose Recognition; Hand Gesture Recognition
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