Gripping motion of artificial hand using EMG signal

Electromyogram (EMG) generates small signal amplitude upon muscle contraction. It is difficult to distinguish the significance of its EMG response but yet its control feasibility has been proven by many research. In this paper, the feasibility of EMG based artificial hand utilizing conventional EMG...

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Main Authors:	Mat Rosly, Muhammad Hadi, Rahman, Md Mozasser
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2016
Subjects:	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
Online Access:	http://irep.iium.edu.my/55141/ http://irep.iium.edu.my/55141/ http://irep.iium.edu.my/55141/ http://irep.iium.edu.my/55141/7/55141.pdf http://irep.iium.edu.my/55141/13/55141_Gripping%20motion%20of%20artificial%20hand%20using%20EMG%20signal_SCOPUS.pdf

id	iium-55141
recordtype	eprints
spelling	iium-551412017-04-21T01:00:46Z http://irep.iium.edu.my/55141/ Gripping motion of artificial hand using EMG signal Mat Rosly, Muhammad Hadi Rahman, Md Mozasser TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) Electromyogram (EMG) generates small signal amplitude upon muscle contraction. It is difficult to distinguish the significance of its EMG response but yet its control feasibility has been proven by many research. In this paper, the feasibility of EMG based artificial hand utilizing conventional EMG sensor was put into study. Instead of performing complex processing which may exponentially increase the cost of EMG artificial hand, the concept proposed in this paper, utilizes simple threshold activation key. The rest of the control specification is dealt with force sensor feedback. From this study, it is proven that using conventional EMG sensor to control an artificial hand is feasible to perform simple task. However, further study is required to enhance the reliability of the system. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/55141/7/55141.pdf application/pdf en http://irep.iium.edu.my/55141/13/55141_Gripping%20motion%20of%20artificial%20hand%20using%20EMG%20signal_SCOPUS.pdf Mat Rosly, Muhammad Hadi and Rahman, Md Mozasser (2016) Gripping motion of artificial hand using EMG signal. In: 6th International Conference on Computer and Communication Engineering (ICCCE 2016), 25th-27th July 2016, Kuala Lumpur. http://ieeexplore.ieee.org/document/7808324/ 10.1109/ICCCE.2016.66
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
spellingShingle	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) Mat Rosly, Muhammad Hadi Rahman, Md Mozasser Gripping motion of artificial hand using EMG signal
description	Electromyogram (EMG) generates small signal amplitude upon muscle contraction. It is difficult to distinguish the significance of its EMG response but yet its control feasibility has been proven by many research. In this paper, the feasibility of EMG based artificial hand utilizing conventional EMG sensor was put into study. Instead of performing complex processing which may exponentially increase the cost of EMG artificial hand, the concept proposed in this paper, utilizes simple threshold activation key. The rest of the control specification is dealt with force sensor feedback. From this study, it is proven that using conventional EMG sensor to control an artificial hand is feasible to perform simple task. However, further study is required to enhance the reliability of the system.
format	Conference or Workshop Item
author	Mat Rosly, Muhammad Hadi Rahman, Md Mozasser
author_facet	Mat Rosly, Muhammad Hadi Rahman, Md Mozasser
author_sort	Mat Rosly, Muhammad Hadi
title	Gripping motion of artificial hand using EMG signal
title_short	Gripping motion of artificial hand using EMG signal
title_full	Gripping motion of artificial hand using EMG signal
title_fullStr	Gripping motion of artificial hand using EMG signal
title_full_unstemmed	Gripping motion of artificial hand using EMG signal
title_sort	gripping motion of artificial hand using emg signal
publisher	IEEE
publishDate	2016
url	http://irep.iium.edu.my/55141/ http://irep.iium.edu.my/55141/ http://irep.iium.edu.my/55141/ http://irep.iium.edu.my/55141/7/55141.pdf http://irep.iium.edu.my/55141/13/55141_Gripping%20motion%20of%20artificial%20hand%20using%20EMG%20signal_SCOPUS.pdf
first_indexed	2023-09-18T21:17:57Z
last_indexed	2023-09-18T21:17:57Z
_version_	1777411688985788416

Gripping motion of artificial hand using EMG signal

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