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FES Position Control of Forearm Using EOG

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Advances in Neuro-Information Processing (ICONIP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5506))

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Abstract

In recent years, the number of individuals with disabled motor functions has increased. However, restoring motor functions is possible by providing electrical stimulation to the peripheral nerves. Flexible operation methods are desirable for .people with central nerve disorders as they can be used in daily life despite limited residual motor functions. Various examples using electromyogram (EMG), joint movement or breathing to control functional electrical stimulation (FES) have been reported. The present work investigates eye direction recognition experiments and the possibility of controlling the angle of the forearm using electrical stimulation. The target angle for the forearm is determined using electrooculogram (EOG) to allow more natural operation. In addition, PD controller and disturbance observer are applied to realize forearm movement and controlled stimulation.

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Author information

Authors and Affiliations

  1. Kyushu Institute of Technology, Japan

    Ken Suetsugu, Yoshihiko Tagawa & Tomohisa Inada

  2. Kurume University, Japan

    Naoto Shiba

Authors
  1. Ken Suetsugu
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  2. Yoshihiko Tagawa
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  3. Tomohisa Inada
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  4. Naoto Shiba
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Editor information

Editors and Affiliations

  1. Kyushu Institute of Technology, Network Design and Research Center, 680-4 Fukuoka, 820-8502, Kawazu, Iizuka, Japan

    Mario Köppen

  2. Knowledge Engineering and Discovery Research Institute (KEDRI), School of Computing and Mathematical Sciences, Auckland University of Technology, 350 Queen Street, 10110, Auckland, New Zealand

    Nikola Kasabov

  3. Department of Electrical and Computer Engineering, Robotics Laboratory, Auckland University of Technology, 38 Princes Street, 1142, Auckland, New Zealand

    George Coghill

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© 2009 Springer-Verlag Berlin Heidelberg

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Suetsugu, K., Tagawa, Y., Inada, T., Shiba, N. (2009). FES Position Control of Forearm Using EOG. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02490-0_61

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  • DOI: https://doi.org/10.1007/978-3-642-02490-0_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02489-4

  • Online ISBN: 978-3-642-02490-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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