Neural Networks with AR Model Coefficients Applied to the EMG Signal Classification

Marek Kurzynski, Andrzej Wolczowski

Abstract

The paper presents a concept of hand movements recognition on the basis of EMG signal analysis. Signal features are represented by coefficient of autoregressive (AR) model, and as classifier the MLP and Adaline networks are applied. The performance of the proposed method was experimentally compared against four different classifiers using real datasets. The systems developed achieved the highest overall classification accuracies demonstrating the potential of neural network classifiers based on AR coefficients for recognition of EMG signals.

References

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Paper Citation


in Harvard Style

Kurzynski M. and Wolczowski A. (2010). Neural Networks with AR Model Coefficients Applied to the EMG Signal Classification . In Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: Workshop ANNIIP, (ICINCO 2010) ISBN 978-989-8425-03-4, pages 81-86. DOI: 10.5220/0003022900810086


in Bibtex Style

@conference{workshop anniip10,
author={Marek Kurzynski and Andrzej Wolczowski},
title={Neural Networks with AR Model Coefficients Applied to the EMG Signal Classification},
booktitle={Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: Workshop ANNIIP, (ICINCO 2010)},
year={2010},
pages={81-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003022900810086},
isbn={978-989-8425-03-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: Workshop ANNIIP, (ICINCO 2010)
TI - Neural Networks with AR Model Coefficients Applied to the EMG Signal Classification
SN - 978-989-8425-03-4
AU - Kurzynski M.
AU - Wolczowski A.
PY - 2010
SP - 81
EP - 86
DO - 10.5220/0003022900810086