IDENTIFICATION OF HAND MOVEMENTS BASED ON MMG AND EMG SIGNALS

Pawel Prociow, Andrzej Wolczowski, Tito G. Amaral, Octávio P. Dias, Joaquim Filipe

Abstract

This paper proposes a methodology that analysis and classifies the EMG and MMG signals using neural networks to control prosthetic members. Finger motions discrimination is the key problem in this study. Thus the emphasis is put on myoelectric signal processing approaches in this paper. The EMG and MMG signals classification system was established using the LVQ neural network. The experimental results show a promising performance in classification of motions based on both EMG and MMG patterns.

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Paper Citation


in Harvard Style

Prociow P., Wolczowski A., G. Amaral T., P. Dias O. and Filipe J. (2008). IDENTIFICATION OF HAND MOVEMENTS BASED ON MMG AND EMG SIGNALS . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 534-539. DOI: 10.5220/0001057305340539


in Bibtex Style

@conference{biosignals08,
author={Pawel Prociow and Andrzej Wolczowski and Tito G. Amaral and Octávio P. Dias and Joaquim Filipe},
title={IDENTIFICATION OF HAND MOVEMENTS BASED ON MMG AND EMG SIGNALS},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={534-539},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001057305340539},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - IDENTIFICATION OF HAND MOVEMENTS BASED ON MMG AND EMG SIGNALS
SN - 978-989-8111-18-0
AU - Prociow P.
AU - Wolczowski A.
AU - G. Amaral T.
AU - P. Dias O.
AU - Filipe J.
PY - 2008
SP - 534
EP - 539
DO - 10.5220/0001057305340539