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International Conference on Neural Information Processing

ICONIP 2016: Neural Information Processing pp 28–35Cite as

Direct Estimation of Wrist Joint Angular Velocities from Surface EMGs by Using an SDNN Function Approximator

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9950))

Abstract

The present paper proposes a method for estimating joint angular velocities from multi-channel surface electromyogram (sEMG) signals. This method uses a selective desensitization neural network (SDNN) as a function approximator that learns the relation between integrated sEMG signals and instantaneous joint angular velocities. A comparison experiment with a Kalman filter model shows that this method can estimate wrist angular velocities in real time with high accuracy, especially during rapid motion.

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References

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Acknowledgment

This work was supported partly by JSPS KAKENHI grant numbers 22300079 and 24700593 and by Tateishi Science and Technology Foundation grant number 2157011.

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Authors and Affiliations

  1. University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, Japan

    Kazumasa Horie, Tomohiro Tanno & Masahiko Morita

  2. Sapporo University of Health Sciences, 2-1-15 Nakanuma Nishi 4, Higashi-ku, Sapporo, Hokkaido, Japan

    Atsuo Suemitsu

Authors
  1. Kazumasa Horie
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  2. Atsuo Suemitsu
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  3. Tomohiro Tanno
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  4. Masahiko Morita
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Corresponding author

Correspondence to Kazumasa Horie .

Editor information

Editors and Affiliations

  1. The University of Tokyo , Tokyo, Japan

    Akira Hirose

  2. Kobe University , Kobe, Japan

    Seiichi Ozawa

  3. Okinawa Institute of Science and Technology Graduate University, Onna, Japan

    Kenji Doya

  4. Nara Institute of Science and Technology , Ikoma, Japan

    Kazushi Ikeda

  5. Kyungpook National University , Daegu, Korea (Republic of)

    Minho Lee

  6. Chinese Academy of Sciences , Beijing, China

    Derong Liu

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© 2016 Springer International Publishing AG

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Cite this paper

Horie, K., Suemitsu, A., Tanno, T., Morita, M. (2016). Direct Estimation of Wrist Joint Angular Velocities from Surface EMGs by Using an SDNN Function Approximator. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9950. Springer, Cham. https://doi.org/10.1007/978-3-319-46681-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-46681-1_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46680-4

  • Online ISBN: 978-3-319-46681-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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