Estimation of joint force/torque based on EMG signals

Kazuo Kiguchi, Kaori Tamura, Yoshiaki Hayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Dislocation of an artificial hip joint is one of the most serious problems for Total Hip Arthroplasty (THA). In order to analyze the phenomenon of the artificial hip joint dislocation, a hip joint simulator has been developed. Although the hip joint motion and the hip joint contact force (the resultant muscle force around muscles of hip joint and the floor reaction force) during the daily life motion must be realized by the simulator, the resultant muscle force around hip joint can not be prepared easily. In this paper, a method to estimate the resultant muscle force around hip joint based on EMG (electromyogram) signals is proposed. Since the proposed estimation method requires only the measurement of EMG signals, the resultant muscle force can be estimated easily. The effectiveness of the proposed estimation method was evaluated by performing the experiments.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Pages20-24
Number of pages5
DOIs
Publication statusPublished - Oct 31 2013
Event2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 - Singapore, Singapore
Duration: Apr 16 2013Apr 19 2013

Publication series

NameProceedings of the 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Other

Other2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
CountrySingapore
CitySingapore
Period4/16/134/19/13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction

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  • Cite this

    Kiguchi, K., Tamura, K., & Hayashi, Y. (2013). Estimation of joint force/torque based on EMG signals. In Proceedings of the 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 (pp. 20-24). [6607924] (Proceedings of the 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013). https://doi.org/10.1109/RiiSS.2013.6607924