SURFACE EMG CLASSIFICATION FOR PROSTHESIS CONTROL - Fuzzy Logic vs. Artificial Neural Network

Siti Anom Ahmad, Mohd Asyraf Khalid, Asnor J. Ishak, Sawal H. M. Ali

2012

Abstract

Electromyography control system (ECS) is a well-known technique for prosthesis control application. It consists of two main modules namely feature extraction and classification. This paper presents the investigation of the classification module in the ECS. The surface electromyographic (EMG) signals were recorded from flexor and extensor muscles of the forearm during wrist flexion and extension. Standard deviation and mean absolute value were used to extract information from the raw EMG signals. Two different classifiers, fuzzy logic and artificial neural network were used in investigating the surface EMG signals. The classifier is responsible to determine the movement of the subject’s limb during specific moment. The two classifiers were compared in terms of their performance.

References

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Paper Citation


in Harvard Style

Anom Ahmad S., Asyraf Khalid M., H. M. Ali S. and J. Ishak A. (2012). SURFACE EMG CLASSIFICATION FOR PROSTHESIS CONTROL - Fuzzy Logic vs. Artificial Neural Network . 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 317-320. DOI: 10.5220/0003696603170320


in Bibtex Style

@conference{biosignals12,
author={Siti Anom Ahmad and Mohd Asyraf Khalid and Sawal H. M. Ali and Asnor J. Ishak},
title={SURFACE EMG CLASSIFICATION FOR PROSTHESIS CONTROL - Fuzzy Logic vs. Artificial Neural Network},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={317-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003696603170320},
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 - SURFACE EMG CLASSIFICATION FOR PROSTHESIS CONTROL - Fuzzy Logic vs. Artificial Neural Network
SN - 978-989-8425-89-8
AU - Anom Ahmad S.
AU - Asyraf Khalid M.
AU - H. M. Ali S.
AU - J. Ishak A.
PY - 2012
SP - 317
EP - 320
DO - 10.5220/0003696603170320