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Real-Time Human-Machine Interaction System Based on Face Authentication and Arm Posture Recognition

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Brain-Inspired Information Technology

Part of the book series: Studies in Computational Intelligence ((SCI,volume 266))

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Abstract

In this article we present a system for secure human-machine interaction. User verification is done based on face matching, and commands to machine are delivered by arm gesture. Algorithms used in our system for face matching and arm posture detection get some inspiration from brain visual functions and architecture. Higher complexity modules are implemented in hardware to achieve higher computational efficiency needed for real time processing.

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Authors and Affiliations

  1. Department of Brain Science and Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu, Kitakyushu, 808- 0196, Japan

    Ishtiaq R. Khan, Takashi Morie, Hiroyuki Miyamoto, Yasutaka Kuriya & Masaki Shimizu

Authors
  1. Ishtiaq R. Khan
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  2. Takashi Morie
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  3. Hiroyuki Miyamoto
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  4. Yasutaka Kuriya
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  5. Masaki Shimizu
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Editor information

Editors and Affiliations

  1. Department of Brain Science and Engineering, Graduate School of Life Science and System Engineering, Kyushu Institute of Technology, Hibikino 2-4,Wakamatsu, 808-0196, Kitakyushu, Fukuoka, Japan

    Akitoshi Hanazawa  & Tsutom Miki  & 

  2. Department of Brain Science and Engineering , Graduate School of Life Science and System Engineering, Kyushu Institute of Technology, Hibikino 2-4,Wakamatsu, 808-0196, Kitakyushu, Fukuoka, Japan

    Keiichi Horio

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Khan, I.R., Morie, T., Miyamoto, H., Kuriya, Y., Shimizu, M. (2010). Real-Time Human-Machine Interaction System Based on Face Authentication and Arm Posture Recognition. In: Hanazawa, A., Miki, T., Horio, K. (eds) Brain-Inspired Information Technology. Studies in Computational Intelligence, vol 266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04025-2_24

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  • DOI: https://doi.org/10.1007/978-3-642-04025-2_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04024-5

  • Online ISBN: 978-3-642-04025-2

  • eBook Packages: EngineeringEngineering (R0)

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