Analysis of Robust Implementation of an EMG Pattern Recognition based Control

Simone Benatti, Elisabetta Farella, Emanuele Gruppioni, Luca Benini

2014

Abstract

Control of active hand prostheses is an open challenge. In fact, the advances in mechatronics made available prosthetic hands with multiple active degrees of freedom; however the predominant control strategies are still not natural for the user, enabling only few gestures, thus not exploiting the prosthesis potential. Pattern recognition and machine learning techniques can be of great help when applied to surface electromyography signals to offer a natural control based on the contraction of muscles corresponding to the real movements. The implementation of such approach for an active prosthetic system offers many challenges related to the reliability of data collected to train the classification algorithm. This paper focuses on these problems and propose an implementation suitable for an embedded system.

Paper Citation

in Harvard Style

Benatti S., Farella E., Gruppioni E. and Benini L. (2014). Analysis of Robust Implementation of an EMG Pattern Recognition based Control . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014) ISBN 978-989-758-011-6, pages 45-54. DOI: 10.5220/0004800300450054

in Bibtex Style

@conference{biosignals14,
author={Simone Benatti and Elisabetta Farella and Emanuele Gruppioni and Luca Benini},
title={Analysis of Robust Implementation of an EMG Pattern Recognition based Control},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)},
year={2014},
pages={45-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004800300450054},
isbn={978-989-758-011-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)
TI - Analysis of Robust Implementation of an EMG Pattern Recognition based Control
SN - 978-989-758-011-6
AU - Benatti S.
AU - Farella E.
AU - Gruppioni E.
AU - Benini L.
PY - 2014
SP - 45
EP - 54
DO - 10.5220/0004800300450054