Development of EMG measurement system to control mobile robot using frontalis and zygomaticus major muscles

The paper discusses the development of the facial-muscle controlled robotic systems. The main work in the research is to capture the facial muscle signal activities and leverage the information to control a small mobile robot movement. The characteristic of the facial muscle activities is discu...

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Main Authors: Mohamad, Ahmad Joraimee, Sidek, Shahrul Na'im, Haja Mohideen, Ahmad Jazlan, Ibrahim, Mohd Tarmizi, Ali, Kharudin
Format: Conference or Workshop Item
Language:English
Published: 2012
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Online Access:http://irep.iium.edu.my/69467/1/Robot_face%20muscle.pdf
http://irep.iium.edu.my/69467/
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
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spelling my.iium.irep.694672019-01-08T07:40:28Z http://irep.iium.edu.my/69467/ Development of EMG measurement system to control mobile robot using frontalis and zygomaticus major muscles Mohamad, Ahmad Joraimee Sidek, Shahrul Na'im Haja Mohideen, Ahmad Jazlan Ibrahim, Mohd Tarmizi Ali, Kharudin T Technology (General) TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) The paper discusses the development of the facial-muscle controlled robotic systems. The main work in the research is to capture the facial muscle signal activities and leverage the information to control a small mobile robot movement. The characteristic of the facial muscle activities is discussed thoroughly in this paper. The EMG measurement system is developed to condition the signal before being fed into the controller of the mobile robot system. Three channels EMG measurement systems consisting of a set of instrumentation amplifiers INA128P and four precision amplifiers OP177 are used to construct the circuit. The signal captured is amplified by 8,415 factor and filtered using bandpass filter from 50Hz to 500Hz frequency range. PIC16F877A starter kit is used to convert the analog signal into the digital form before the data is transmitted to the receiver of the mobile robot by using XBee module upon which it responds accordingly. The system is interactive and could be an exciting alternative to relieve boredom of patient doing rehabilitation exercise post stroke. 2012-12 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/69467/1/Robot_face%20muscle.pdf Mohamad, Ahmad Joraimee and Sidek, Shahrul Na'im and Haja Mohideen, Ahmad Jazlan and Ibrahim, Mohd Tarmizi and Ali, Kharudin (2012) Development of EMG measurement system to control mobile robot using frontalis and zygomaticus major muscles. In: IEEE EMBS International Conference on Biomedical Engineering and Sciences 2012, Langkawi, Malaysia. 0.1109/IECBES.2012.6498126
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)
TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
spellingShingle T Technology (General)
TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
Mohamad, Ahmad Joraimee
Sidek, Shahrul Na'im
Haja Mohideen, Ahmad Jazlan
Ibrahim, Mohd Tarmizi
Ali, Kharudin
Development of EMG measurement system to control mobile robot using frontalis and zygomaticus major muscles
description The paper discusses the development of the facial-muscle controlled robotic systems. The main work in the research is to capture the facial muscle signal activities and leverage the information to control a small mobile robot movement. The characteristic of the facial muscle activities is discussed thoroughly in this paper. The EMG measurement system is developed to condition the signal before being fed into the controller of the mobile robot system. Three channels EMG measurement systems consisting of a set of instrumentation amplifiers INA128P and four precision amplifiers OP177 are used to construct the circuit. The signal captured is amplified by 8,415 factor and filtered using bandpass filter from 50Hz to 500Hz frequency range. PIC16F877A starter kit is used to convert the analog signal into the digital form before the data is transmitted to the receiver of the mobile robot by using XBee module upon which it responds accordingly. The system is interactive and could be an exciting alternative to relieve boredom of patient doing rehabilitation exercise post stroke.
format Conference or Workshop Item
author Mohamad, Ahmad Joraimee
Sidek, Shahrul Na'im
Haja Mohideen, Ahmad Jazlan
Ibrahim, Mohd Tarmizi
Ali, Kharudin
author_facet Mohamad, Ahmad Joraimee
Sidek, Shahrul Na'im
Haja Mohideen, Ahmad Jazlan
Ibrahim, Mohd Tarmizi
Ali, Kharudin
author_sort Mohamad, Ahmad Joraimee
title Development of EMG measurement system to control mobile robot using frontalis and zygomaticus major muscles
title_short Development of EMG measurement system to control mobile robot using frontalis and zygomaticus major muscles
title_full Development of EMG measurement system to control mobile robot using frontalis and zygomaticus major muscles
title_fullStr Development of EMG measurement system to control mobile robot using frontalis and zygomaticus major muscles
title_full_unstemmed Development of EMG measurement system to control mobile robot using frontalis and zygomaticus major muscles
title_sort development of emg measurement system to control mobile robot using frontalis and zygomaticus major muscles
publishDate 2012
url http://irep.iium.edu.my/69467/1/Robot_face%20muscle.pdf
http://irep.iium.edu.my/69467/
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