Effect of shoulder angle variation on sEMG-based elbow joint angle estimation.pdf (6.23 MB)
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Effect of shoulder angle variation on sEMG-based elbow joint angle estimation

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journal contribution
posted on 10.03.2022, 16:14 authored by Zhichuan Tang, Hongchun Yang, Lekai Zhang, Pengcheng Liu
For the decade now, surface electromyogram (sEMG) signal has been extensively applied in joint angle estimation to control the prostheses and exoskeleton systems. However, the sEMG signal patterns can be severely affected by shoulder angle variations, which restricts its applications to a practical use. In our study, we evaluate the effect of shoulder angle variations on elbow angle estimation performance. This adverse effect increases mean root mean square (RMS) error by in our experiment. Then, four estimation methods are proposed to solve this problem: (1) using a training set including all shoulder angles' training data to train model; (2) adding two shoulder muscles' sEMG as additional inputs; (3) a two-step method using arm muscles' sEMG and two shoulder muscles' sEMG; and (4) a two-step method using arm muscles' sEMG and measured shoulder angle value by a motion sensor. 13 subjects are employed in this study. The experimental results demonstrate that the mean RMS error is reduced from to in method one, in method two, in method three, and in method four, respectively. These results show that our methods are effective to eliminate the adverse effect of shoulder angle variations and achieve a better elbow angle estimation performance. Furthermore, this study is helpful to develop a natural and stable control system for prostheses and exoskeleton systems.

History

Published in

International Journal of Industrial Ergonomics

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Citation

Tang, Z., Yang, H., Zhang, L. and Liu, P. (2018) 'Effect of shoulder angle variation on sEMG-based elbow joint angle estimation', International Journal of Industrial Ergonomics, 68, pp.280-289. https://doi.org/10.1016/j.ergon.2018.08.012

Print ISSN

0169-8141

Cardiff Met Affiliation

  • Cardiff School of Technologies

Cardiff Met Authors

Pengcheng Liu

Copyright Holder

© The Authors

Language

en