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International Gesture Workshop

GW 2001: Gesture and Sign Language in Human-Computer Interaction pp 96–100Cite as

The Recognition of Finger-Spelling for Chinese Sign Language

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2298))

Abstract

In this paper 3-layer feedforward network is introduced to recognize Chinese manual alphabet, and Single Parameter Dynamic Search Algorithm(SPDS) is used to learn net parameters. In addition, a recognition algorithm for recognizing manual alphabets based on multifeatures and multi-classifiers is proposed to promote the recognition performance of finger-spelling. From experiment result, it is shown that Chinese finger-spelling recognition based on multi-features and multiclassifiers outperforms its recognition based on single-classifier.

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References

  1. Chinese deaf association, Chinese Sign Language. Huaxia publishing company, 1994

    Google Scholar 

  2. R. Beale and A Edwards, Recognizing postures and gestures using neural networks. Neural Networks and Pattern Recognition in Human Computer Interaction. E.Horwood,1992

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  3. H. Hienz, K. Grobel and G. Beckers, Video-based handshape recognition using Artificial Neural Networks, 4th European Congress on Intelligent Techniques and Soft Computing, Aachen, September 1996, PP. 1659–63

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  4. Wang Xuefeng, Feng Yingjun, A New Learning Algorithm of Multi-Layer Neural Network, Jouranl of Harbin Institute of Technology, Vol 29, No. 2 (1997)

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Author information

Authors and Affiliations

  1. Department of CS, Zhejiang University, 310027, Hangzhou

    Wu Jiangqin

  2. Chinese Science Academy, ICT, 100080, Beijing

    Gao Wen

Authors
  1. Wu Jiangqin
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  2. Gao Wen
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Editor information

Editors and Affiliations

  1. Technische Fakultät, Universität Bielefeld, 33594, Bielefeld, Germany

    Ipke Wachsmuth  & Timo Sowa  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Cite this paper

Jiangqin, W., Wen, G. (2002). The Recognition of Finger-Spelling for Chinese Sign Language. In: Wachsmuth, I., Sowa, T. (eds) Gesture and Sign Language in Human-Computer Interaction. GW 2001. Lecture Notes in Computer Science(), vol 2298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47873-6_10

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  • DOI: https://doi.org/10.1007/3-540-47873-6_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43678-2

  • Online ISBN: 978-3-540-47873-7

  • eBook Packages: Springer Book Archive

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