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Authors: Marek Kurzynski and Andrzej Wolczowski

Affiliation: Wroclaw University of Technology, Poland

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.

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Paper citation in several formats:
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 (ICINCO 2010) - Workshop ANNIIP; ISBN 978-989-8425-03-4, SciTePress, pages 81-86. DOI: 10.5220/0003022900810086

@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 (ICINCO 2010) - Workshop ANNIIP},
year={2010},
pages={81-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003022900810086},
isbn={978-989-8425-03-4},
}

TY - CONF

JO - Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2010) - Workshop ANNIIP
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
PB - SciTePress