Human Computer Interaction Based on Hand Gesture Ontology

نویسندگان

  • LAWRENCE Y. DENG
  • DONG-LIANG LEE
  • YI-JEN LIU
  • NICK C. TANG
چکیده

Hand gesture recognition is a new challenge to convey information such as input data or to control devices and applications such as computers, games, PDAs, browsers, cell phones, information appliances and MP3 audio players, etc. Image-based techniques detect a gesture by capturing pictures of a user’s hand signs during the course of a gesture, and to recognize what user would like to do. In this paper, we proposed a vision-based gesture recognition system. This system support hand gesture interaction with referring to the hand gesture ontology for improving efficiency. Key-Words: Gesture Recognition, Ontology, Data Mining, Case-based reasoning, Behavior Prediction

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تاریخ انتشار 2007