Hand Movement Recognition Based on Fusion of Myography Signals

Shili Eddine, Youssef Serrestou, Slim Yacoub, Ali Al-Timemy, Kosai Raoof

2024

Abstract

This article presents a hand movement classification system that combines acoustic myography (AMG) signals, electromyography (EMG) signals and mechanomyogram signal (MMG) data. The system aims to accurately predict hand movements, with the potential to improve the control of hand prostheses. A dataset was collected from 9 individuals who repeated 10 times each of 4 hand movements (hand close, hand open, fine pinch and index flexion). The system, with a Support Vector Machine (SVM) classifier, achieved an accuracy score of 97%, demonstrating its potential for real-time hand prosthesis control. The combination of AMG, EMG, and MMG signals proved to be effective in accurately classifying hand movements.

Paper Citation

in Harvard Style

Eddine S., Serrestou Y., Yacoub S., Al-Timemy A. and Raoof K. (2024). Hand Movement Recognition Based on Fusion of Myography Signals. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS; ISBN 978-989-758-688-0, SciTePress, pages 733-738. DOI: 10.5220/0012350000003657

in Bibtex Style

@conference{biosignals24,
author={Shili Eddine and Youssef Serrestou and Slim Yacoub and Ali Al-Timemy and Kosai Raoof},
title={Hand Movement Recognition Based on Fusion of Myography Signals},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS},
year={2024},
pages={733-738},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012350000003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS
TI - Hand Movement Recognition Based on Fusion of Myography Signals
SN - 978-989-758-688-0
AU - Eddine S.
AU - Serrestou Y.
AU - Yacoub S.
AU - Al-Timemy A.
AU - Raoof K.
PY - 2024
SP - 733
EP - 738
DO - 10.5220/0012350000003657
PB - SciTePress