Human computer interaction based on hand gesture ontology

Authors:
Lawrence Y. Deng;Dong-Liang Lee;Yi-Jen Liu;Nick C. Tang
Affiliations:
Department of Computer Science and Information Engineering, St. John's University, Tamsui, Taipei, Taiwan, R.O.C.;Department of Information Management, St. John's University, Tamsui, Taipei, Taiwan, R.O.C;Department of Computer Science and Information Engineering, Tamkang University, Tamsui, Taipei, Taiwan, R.O.C.;Department of Computer Science and Information Engineering, Tamkang University, Tamsui, Taipei, Taiwan, R.O.C.
Venue:
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
Year:
2007

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Abstract

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.