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Hand motion detection from EMG signals by using ANN based classifier for human computer interaction

Today's advanced muscular sensing and processing technologies have made the acquisition of electromyography (EMG) signal which is valuable. EMG signal is the measurement of electrical potentials generated by muscle cells which is an indicator of muscle activity. Other than rehabilitation engine...

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Main Authors: Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/5898/1/05775536.pdf
http://irep.iium.edu.my/5898/
http://icmsao2011.trackchair.com/
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spelling my.iium.irep.58982012-05-14T04:01:04Z http://irep.iium.edu.my/5898/ Hand motion detection from EMG signals by using ANN based classifier for human computer interaction Ahsan, Md. Rezwanul Ibrahimy, Muhammad Ibn Khalifa, Othman Omran T Technology (General) Today's advanced muscular sensing and processing technologies have made the acquisition of electromyography (EMG) signal which is valuable. EMG signal is the measurement of electrical potentials generated by muscle cells which is an indicator of muscle activity. Other than rehabilitation engineering and clinical applications, EMG signals can also be employed in the field of human computer interaction (HCI) system. In this work, the detection of different hand movements (left, right, up and down) was obtained using artificial neural network (ANN). A back-propagation (BP) network with Levenberg-Marquardt training algorithm was utilized. The conventional time and time-frequency based feature sets have been chosen to train the neural network. The simulation results show that the designed network is able to recognize hand movements with satisfied classification efficiency in average of 88.4%. 2011 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/5898/1/05775536.pdf Ahsan, Md. Rezwanul and Ibrahimy, Muhammad Ibn and Khalifa, Othman Omran (2011) Hand motion detection from EMG signals by using ANN based classifier for human computer interaction. In: 4th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO 2011), 19-21 April 2011, Kuala Lumpur, Malaysia. http://icmsao2011.trackchair.com/ doi:10.1109/ICMSAO.2011.5775536
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Ahsan, Md. Rezwanul
Ibrahimy, Muhammad Ibn
Khalifa, Othman Omran
Hand motion detection from EMG signals by using ANN based classifier for human computer interaction
description Today's advanced muscular sensing and processing technologies have made the acquisition of electromyography (EMG) signal which is valuable. EMG signal is the measurement of electrical potentials generated by muscle cells which is an indicator of muscle activity. Other than rehabilitation engineering and clinical applications, EMG signals can also be employed in the field of human computer interaction (HCI) system. In this work, the detection of different hand movements (left, right, up and down) was obtained using artificial neural network (ANN). A back-propagation (BP) network with Levenberg-Marquardt training algorithm was utilized. The conventional time and time-frequency based feature sets have been chosen to train the neural network. The simulation results show that the designed network is able to recognize hand movements with satisfied classification efficiency in average of 88.4%.
format Conference or Workshop Item
author Ahsan, Md. Rezwanul
Ibrahimy, Muhammad Ibn
Khalifa, Othman Omran
author_facet Ahsan, Md. Rezwanul
Ibrahimy, Muhammad Ibn
Khalifa, Othman Omran
author_sort Ahsan, Md. Rezwanul
title Hand motion detection from EMG signals by using ANN based classifier for human computer interaction
title_short Hand motion detection from EMG signals by using ANN based classifier for human computer interaction
title_full Hand motion detection from EMG signals by using ANN based classifier for human computer interaction
title_fullStr Hand motion detection from EMG signals by using ANN based classifier for human computer interaction
title_full_unstemmed Hand motion detection from EMG signals by using ANN based classifier for human computer interaction
title_sort hand motion detection from emg signals by using ann based classifier for human computer interaction
publishDate 2011
url http://irep.iium.edu.my/5898/1/05775536.pdf
http://irep.iium.edu.my/5898/
http://icmsao2011.trackchair.com/
_version_ 1643605636548657152
score 13.211869

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