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Design and Construction of 4-DOF EMG-Based Robot Arm System

Electromyography (EMG) provides an alternative way of providing signal responses from the muscle. As such, the recent trend in developing myoelectric devices has spark the interest in this specific field of study. This is because the traditional controllers lack in certain parts which reduce the uti...

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Main Authors: Ali @ Ibrahim, Fariz, Sintar, Junior, Mohd Aras, Mohd Shahrieel, Shukor, Ahmad Zaki
Format: Article
Language:English
Published: Blue Eyes Intelligence Engineering & Sciences Publication 2019
Online Access:http://eprints.utem.edu.my/id/eprint/24256/2/L111610812S219.PDF
http://eprints.utem.edu.my/id/eprint/24256/
http://www.ijitee.org/wp-content/uploads/papers/v8i12S2/L111610812S219.pdf
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spelling my.utem.eprints.242562020-07-30T16:14:15Z http://eprints.utem.edu.my/id/eprint/24256/ Design and Construction of 4-DOF EMG-Based Robot Arm System Ali @ Ibrahim, Fariz Sintar, Junior Mohd Aras, Mohd Shahrieel Shukor, Ahmad Zaki Electromyography (EMG) provides an alternative way of providing signal responses from the muscle. As such, the recent trend in developing myoelectric devices has spark the interest in this specific field of study. This is because the traditional controllers lack in certain parts which reduce the utilization of limbs to control devices mainly the robotic arm. However, noise such as crosstalk, motion artifact, ambient noise and inherent noise have become a major issue when handling EMG signals. The preparation of electromyography requires more attention in terms of muscle group selection, electrode placement and condition of the surrounding as it will affect the signal output. The aim of this project is to develop a 4 degree-offreedom (DOF) robotic arm that can be controlled using EMG signals. The correlation between the EMG signal and the robotic arm are required to be identified in order to analyze the performance of robotic arm. Review on the actuator, electromyography methods and microcontroller are done to evaluate the techniques used from past researches. The methods of this project include hardware development of robotics arm, development of forward kinematic, sensor calibration and electrode positioning and experiment on classification and validation of EMG signals based on hand gestures. The experiment showed that the sampling rate and arm position affect the EMG signal output. In addition, the controllability of the robotic arm was low because the motors are controlled independently. The objective of the project has been achieved as the EMG-controlled robotic arm has been successfully developed. The robotic arm is still available for improvement by adding multiple channel sensors and implementing a wireless system. Blue Eyes Intelligence Engineering & Sciences Publication 2019-10 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24256/2/L111610812S219.PDF Ali @ Ibrahim, Fariz and Sintar, Junior and Mohd Aras, Mohd Shahrieel and Shukor, Ahmad Zaki (2019) Design and Construction of 4-DOF EMG-Based Robot Arm System. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8 (12S2). pp. 669-674. ISSN 2278-3075 http://www.ijitee.org/wp-content/uploads/papers/v8i12S2/L111610812S219.pdf 10.35940/ijitee.L1116.10812S219
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Electromyography (EMG) provides an alternative way of providing signal responses from the muscle. As such, the recent trend in developing myoelectric devices has spark the interest in this specific field of study. This is because the traditional controllers lack in certain parts which reduce the utilization of limbs to control devices mainly the robotic arm. However, noise such as crosstalk, motion artifact, ambient noise and inherent noise have become a major issue when handling EMG signals. The preparation of electromyography requires more attention in terms of muscle group selection, electrode placement and condition of the surrounding as it will affect the signal output. The aim of this project is to develop a 4 degree-offreedom (DOF) robotic arm that can be controlled using EMG signals. The correlation between the EMG signal and the robotic arm are required to be identified in order to analyze the performance of robotic arm. Review on the actuator, electromyography methods and microcontroller are done to evaluate the techniques used from past researches. The methods of this project include hardware development of robotics arm, development of forward kinematic, sensor calibration and electrode positioning and experiment on classification and validation of EMG signals based on hand gestures. The experiment showed that the sampling rate and arm position affect the EMG signal output. In addition, the controllability of the robotic arm was low because the motors are controlled independently. The objective of the project has been achieved as the EMG-controlled robotic arm has been successfully developed. The robotic arm is still available for improvement by adding multiple channel sensors and implementing a wireless system.
format Article
author Ali @ Ibrahim, Fariz
Sintar, Junior
Mohd Aras, Mohd Shahrieel
Shukor, Ahmad Zaki
spellingShingle Ali @ Ibrahim, Fariz
Sintar, Junior
Mohd Aras, Mohd Shahrieel
Shukor, Ahmad Zaki
Design and Construction of 4-DOF EMG-Based Robot Arm System
author_facet Ali @ Ibrahim, Fariz
Sintar, Junior
Mohd Aras, Mohd Shahrieel
Shukor, Ahmad Zaki
author_sort Ali @ Ibrahim, Fariz
title Design and Construction of 4-DOF EMG-Based Robot Arm System
title_short Design and Construction of 4-DOF EMG-Based Robot Arm System
title_full Design and Construction of 4-DOF EMG-Based Robot Arm System
title_fullStr Design and Construction of 4-DOF EMG-Based Robot Arm System
title_full_unstemmed Design and Construction of 4-DOF EMG-Based Robot Arm System
title_sort design and construction of 4-dof emg-based robot arm system
publisher Blue Eyes Intelligence Engineering & Sciences Publication
publishDate 2019
url http://eprints.utem.edu.my/id/eprint/24256/2/L111610812S219.PDF
http://eprints.utem.edu.my/id/eprint/24256/
http://www.ijitee.org/wp-content/uploads/papers/v8i12S2/L111610812S219.pdf
_version_ 1675330919024558080
score 13.211869

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