A clustering approach to the vision-based interface for interactive computer games
- Authors
- Kang, H; Lee, CW; Jung, K; Kim, HJ
- Issue Date
- 2003
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING, v.2690, pp.246 - 253
- Journal Title
- INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING
- Volume
- 2690
- Start Page
- 246
- End Page
- 253
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/21110
- ISSN
- 0302-9743
- Abstract
- In interactive computer games, vision can be a powerful interface between humans and computers. In this paper, we propose a vision-based interface for 3D action games. We make dynamic gestures to input of the interface and represent a user's gesture as an ordered sequence of a user's poses. To estimate a human poses, we classify whole frames using K-Means clustering. For recognizing a gesture, each symbols from input sequence is matched with templates composed of ordered pose symbol sequences that indicate the specific gestures. Our interface recognizes ten gesture commands with a single commercial camera and no markers. Experimental results with 50 humans show an average recognition rate of 93.72 % per a gesture command.
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Collections - College of Information Technology > Global School of Media > 1. Journal Articles
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