Study of Vision-Based Hand Gesture Recognition System for Astronaut Virtual Training

Hong Hu; Jian Gang Chao; Zai Qian Zhao

doi:10.4028/www.scientific.net/AMR.998-999.1062

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 998-999Study of Vision-Based Hand Gesture Recognition...

Study of Vision-Based Hand Gesture Recognition System for Astronaut Virtual Training

Abstract:

With the fast development of vision-based hand gesture recognition, it is possible to apply the technology to astronaut virtual training. In order to solve problems of hand gesture recognition in future virtual training and to provide an unrestricted natural training for astronauts, this paper proposed a vision-based hand gesture recognition method, and implemented a hierarchical gesture recognition system to provide a gesture-driven interactive interface for astronaut virtual training system. The experiment results showed that this recognition system can be used to help astronaut training.

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Periodical:

Advanced Materials Research (Volumes 998-999)

Pages:

1062-1065

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.998-999.1062

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Online since:

July 2014

Authors:

Hong Hu*, Jian Gang Chao, Zai Qian Zhao

Keywords:

Hand Gesture Recognition, Hierarchical System, Virtual Training

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* - Corresponding Author

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