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Dynamic Hand Gesture Recognition Based On Randomized Self-Organizing Map Algorithm

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Algorithmic Learning Theory (ALT 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1968))

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Abstract

Gesture recognition is an appealing tool for natural interface with computers especially for physically impaired persons. In this paper, it is proposed to use Self-Organized Map (SOM) to recognize the posture images of hand gestures. Since the competition algorithm of SOM allows alleviating many difficulties associated with gesture recognition. However, it is required to reduce the recognition time of one image in SOM network to the range of normal video camera rates, this permits the network to accept dynamic input images and to perform on-line recognition for hand gestures. To achieve this, the Randomized Self-Organizing Map algorithm (RSOM) is proposed as a new recognition algorithm for SOM. With RSOM algorithm, the recognition time of one image reduced to 12.4 % of the normal SOM competition algorithm with 100 % accuracy and allowed the network to recognize images within the range of normal video rates. The experimental results to recognize six dynamic hand gestures using RSOM algorithm is presented.

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Author information

Authors and Affiliations

  1. Department of Intelligent Systems, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan, 6-1, Kasuga-Koen, 816, Kasuga, Fukuoka, Japan

    Tarek El. Tobely & Makoto Amamiy

  2. Department of Electronic Engineering, Graduate School of Electronics Engineering, Fukuoka University, Fukuoka, Japan, 8-19-1, Nanakuma, 814-0180, Jonan, Fukuoka, Japan

    Yuichiro Yoshiki, Ryuichi Tsuda & Naoyuki Tsuruta

Authors
  1. Tarek El. Tobely
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  2. Yuichiro Yoshiki
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  3. Ryuichi Tsuda
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  4. Naoyuki Tsuruta
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  5. Makoto Amamiy
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Editor information

Editors and Affiliations

  1. Department of Informatics, Kyushu University, Hakozaki 6-10-1, 812-8581, Fukuoka, Japan

    Hiroki Arimura

  2. School of Computing, National University of Singapore, 3 Science Drive 2, 117543, Singapore, Singapore

    Sanjay Jain

  3. School of Computer Science and Engineering, The University of New South Wales, 2052, Sydney, Australia

    Arun Sharma

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© 2000 Springer-Verlag Berlin Heidelberg

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Tobely, T.E., Yoshiki, Y., Tsuda, R., Tsuruta, N., Amamiy, M. (2000). Dynamic Hand Gesture Recognition Based On Randomized Self-Organizing Map Algorithm. In: Arimura, H., Jain, S., Sharma, A. (eds) Algorithmic Learning Theory. ALT 2000. Lecture Notes in Computer Science(), vol 1968. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40992-0_19

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  • DOI: https://doi.org/10.1007/3-540-40992-0_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41237-3

  • Online ISBN: 978-3-540-40992-2

  • eBook Packages: Springer Book Archive

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