REDUCING THE NUMBER OF CHANNELS AND SIGNAL-FEATURES FOR AN ACCURATE CLASSIFICATION IN AN EMG PATTERN RECOGNITION TASK

Iker Mesa, Angel Rubio, Beatriz Sedano, Javier Diaz, Jon Legarda

Abstract

In this work 32 surface Electromyography (sEMG) electrode locations and 41 signal-features are evaluated in order to achieve an accurate classification rate in a static-hand gesture classification task. A novel implementation of the minimal Redundancy Maximal Relevance (mRMR) Variable Selection algorithm is proposed with the aim of selecting the most informative and least redundant combination of sEMG channels and signal features. The performance of the new algorithm and of the selected set of channels and signal-features are tested with a Support Vector Machine classifier.

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Paper Citation


in Harvard Style

Mesa I., Sedano B., Legarda J., Diaz J. and Rubio A. (2012). REDUCING THE NUMBER OF CHANNELS AND SIGNAL-FEATURES FOR AN ACCURATE CLASSIFICATION IN AN EMG PATTERN RECOGNITION TASK . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 38-48. DOI: 10.5220/0003767300380048


in Bibtex Style

@conference{biosignals12,
author={Iker Mesa and Beatriz Sedano and Jon Legarda and Javier Diaz and Angel Rubio},
title={REDUCING THE NUMBER OF CHANNELS AND SIGNAL-FEATURES FOR AN ACCURATE CLASSIFICATION IN AN EMG PATTERN RECOGNITION TASK},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={38-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003767300380048},
isbn={978-989-8425-89-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - REDUCING THE NUMBER OF CHANNELS AND SIGNAL-FEATURES FOR AN ACCURATE CLASSIFICATION IN AN EMG PATTERN RECOGNITION TASK
SN - 978-989-8425-89-8
AU - Mesa I.
AU - Sedano B.
AU - Legarda J.
AU - Diaz J.
AU - Rubio A.
PY - 2012
SP - 38
EP - 48
DO - 10.5220/0003767300380048