A human motion angle prediction method using a neural network and feature-extraction-processed sEMG obtained in real time to utilize mechanical delay of sEMG-Reference-Cited by-同舟云学术

A human motion angle prediction method using a neural network and feature-extraction-processed sEMG obtained in real time to utilize mechanical delay of sEMG

Published:2023 Issue:1 Volume:10 Page:102-115
ISSN:2188-5303
Container-title:Journal of Advanced Simulation in Science and Engineering
language:en
Short-container-title:JASSE

Author:

Ikeda Naoki¹,Sadahiro Teruyoshi¹

Affiliation:

1. Graduate School of Engineering, Oita University

Publisher

Japan Society for Simulation Technology

Subject

General Engineering

Link

https://www.jstage.jst.go.jp/article/jasse/10/1/10_102/_pdf

Reference13 articles.

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3. [3] T. Triwiyanto, O. Wahyunggoro, H. A. Nugroho: Effect of window length on performance of the elbow-joint angle prediction based on electromyography, Journal of Physics Conference Series Journal of Physics Conference Series, 853 (2017), 1-9.

4. [4] C. Spiewak, I. MdRasedu, Z. Assad-Uz, H. Mohammad: A comprehensive study on EMG feature extraction and classifiers, International Journal of Biomedical Engineering and Biosciences, 1:1 (2018), 1-10.

5. [5] S. G. Meek, S. J. Fetherston: Comparison of signal-to-noise ratio of myoelectric filters for prosthesis control, Journal of rehabilitation research and development, 29:4 (1992), 9-20.