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/ http://irep.iium.edu.my/5898/ http://irep.iium.edu.my/5898/ http://irep.iium.edu.my/5898/1/05775536.pdf

id	iium-5898
recordtype	eprints
spelling	iium-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 PeerReviewed 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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/ http://irep.iium.edu.my/5898/ http://irep.iium.edu.my/5898/ http://irep.iium.edu.my/5898/1/05775536.pdf
first_indexed	2023-09-18T20:14:42Z
last_indexed	2023-09-18T20:14:42Z
_version_	1777407709570662400

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

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