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Independent hand gesture recognition in HandTalker

  • Session IA3b — Application Systems
  • Conference paper
  • First Online:
Image Analysis Applications and Computer Graphics (ICSC 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1024))

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Abstract

HandTalker is a system we designed for enhanced user interface which allows user to communicate with computers or through computer network with others by hand gesture. One of the application cases of HandTalker is to help deaf people to “see” everyday news and to talk with other people. HandTalker consists of three parts: learner, recognizer, and synthesizer. In the recognizer, NN is applied for independent element recognition and HMM is applied for continuous gesture flow recognition. This paper describes our works on design and implementation for the part of independent hand gesture recognition in HandTalker.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, Harbin Institute Technology, China

    Wen Gao

  2. Department of Computer Science, City University of Hong Kong, Hong Kong

    Shuanglin Wang

Authors
  1. Wen Gao
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  2. Shuanglin Wang
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Editor information

Roland T. Chin Horace H. S. Ip Avi C. Naiman Ting-Chuen Pong

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© 1995 Springer-Verlag Berlin Heidelberg

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Gao, W., Wang, S. (1995). Independent hand gesture recognition in HandTalker. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_133

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  • DOI: https://doi.org/10.1007/3-540-60697-1_133

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60697-0

  • Online ISBN: 978-3-540-49298-6

  • eBook Packages: Springer Book Archive

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