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...

Full description

Bibliographic Details
Main Authors: Mat Rosly, Muhammad Hadi, Rahman, Md Mozasser
Format: Proceeding Paper
Language:English
English
Published: IEEE 2016
Subjects:
Online Access: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
_version_ 1848784529269981184
author Mat Rosly, Muhammad Hadi
Rahman, Md Mozasser
author_facet Mat Rosly, Muhammad Hadi
Rahman, Md Mozasser
author_sort Mat Rosly, Muhammad Hadi
building IIUM Repository
collection Online Access
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.
first_indexed 2025-11-14T16:38:42Z
format Proceeding Paper
id iium-55141
institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T16:38:42Z
publishDate 2016
publisher IEEE
recordtype eprints
repository_type Digital Repository
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 Proceeding Paper 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
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
title 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_short Gripping motion of artificial hand using EMG signal
title_sort gripping motion of artificial hand using emg signal
topic TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
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