| ¡¡ | Chinese Journal of Computers Full Text |
| Title | Research on Key Issues of Vision-Based Gesture Interfaces |
| Authors | WU Hui-Yue1),2) ZHANG Feng-Jun1) LIU Yu-Jin1) DAI Guo-Zhong1) |
| Address | 1)(Intelligence Engineering Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing 100190) 2)(Graduate University of Chinese Academy of Sciences, Beijing 100049) |
| Year | 2009 |
| Issue | No.10(2030¡ª2041) |
| Abstract & Background | Abstract In this paper, an effective solution is described for vision-based gesture interfaces, which can help avoid what is often called the Midas Touch Problem, where everything the user does is interpreted as an interaction. First, an interactive model for hand gesture is presented based on information processing model of human attention, which divides gesture interaction into selective process, divided process and sustained process; Then a recognition framework is proposed based on the interactive model and is interpreted from the perspective of cognitive psychology. In this framework, the hand detection model and the recognition management model can help recognize hand gesture from complex environment and analyze specific context and redirect gesture recognition into the adequate system model, thus minimizing the need to activate all the different gesture recognition types simultaneously and solving the Midas Touch Problem effectively. At the end, a vision-based gesture interfaces toolkit for interactive games is presented based on the recognition framework. This paper also presents experimental results based on an interactive prototype, regarding the speed, accuracy and robustness of the implemented system, which validate the quality and usability of the proposed. Keywords human computer interaction; vision-based gesture interface; interactive model; recognition framework |