Relationship investigation of handgrip forces with varied wrist angles using forearm EMG for bionic hand

Extracting hand grip force and wrist angle information from forearm electromyogram (EMG) signals is useful to be used as an inputs for the control of cybernetic prostheses or robotic hand. The information relating handgrip force and wrist position to forearm muscle activity is important as control a...

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Main Author:	Norizan, Muhammad Alif
Format:	Thesis
Language:	English English
Published:	2017
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://eprints.utem.edu.my/id/eprint/20911/1/Relationship%20investigation%20of%20handgrip%20forces%20with%20varied%20wrist%20angles%20using%20forearm%20EMG%20for%20bionic%20hand.pdf http://eprints.utem.edu.my/id/eprint/20911/2/Relationship%20investigation%20of%20handgrip%20forces%20with%20varied%20wrist%20angles%20using%20forearm%20EMG%20for%20bionic%20hand.pdf
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id	my-utem-ep.20911
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spelling	my-utem-ep.209112022-12-29T11:10:15Z Relationship investigation of handgrip forces with varied wrist angles using forearm EMG for bionic hand 2017 Norizan, Muhammad Alif T Technology (General) TJ Mechanical engineering and machinery Extracting hand grip force and wrist angle information from forearm electromyogram (EMG) signals is useful to be used as an inputs for the control of cybernetic prostheses or robotic hand. The information relating handgrip force and wrist position to forearm muscle activity is important as control algorithm for controlling the prostheses or robotic hand gripping force. By investigating the relationship between forearm EMG and hand grip force/wrist angles, the prostheses or robotic hand can be controlled in a manner that is customized to an amputee's intent. In this research study, a signal processing system which consists of an electronic conditioning circuit to measure and process raw EMG signals into linear enveloped EMG signal and software to record and process the EMG signals were developed. Each circuit development stage is described in detail so that this research can be easily produced by others for future work and improvements. Experimental training and testing datasets from five subjects were collected to investigate the relationship between forearm EMG,hand grip force and wrist angle simultaneously. The wrist angles set for this research is 60,90° and 120 ° while the forces is set at 5%,15%,25% and 35%MVC.At the beginning, 100%/MVC were done by each subjects for the normalization of EMG signal Neural Network were used to represents the relationship and to estimate handgrip force and wrist angle from the EMG signal. The performance of the networks were indicated by Mean Square Error (MSE) and Mean Absolute Error (MAE) values. The results from neural network training shows good accuracy with low MSE (<= 0.0000001) and MAE(<0.2) value. The data obtained from the experiment has been analyzed and is useful, low-cost method to control a prostheses or robotic hand. 2017 Thesis http://eprints.utem.edu.my/id/eprint/20911/ http://eprints.utem.edu.my/id/eprint/20911/1/Relationship%20investigation%20of%20handgrip%20forces%20with%20varied%20wrist%20angles%20using%20forearm%20EMG%20for%20bionic%20hand.pdf text en public http://eprints.utem.edu.my/id/eprint/20911/2/Relationship%20investigation%20of%20handgrip%20forces%20with%20varied%20wrist%20angles%20using%20forearm%20EMG%20for%20bionic%20hand.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=107604 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Electrical Engineering Ali @ Ibrahim, Fariz
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Ali @ Ibrahim, Fariz
topic	T Technology (General) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery Norizan, Muhammad Alif Relationship investigation of handgrip forces with varied wrist angles using forearm EMG for bionic hand
description	Extracting hand grip force and wrist angle information from forearm electromyogram (EMG) signals is useful to be used as an inputs for the control of cybernetic prostheses or robotic hand. The information relating handgrip force and wrist position to forearm muscle activity is important as control algorithm for controlling the prostheses or robotic hand gripping force. By investigating the relationship between forearm EMG and hand grip force/wrist angles, the prostheses or robotic hand can be controlled in a manner that is customized to an amputee's intent. In this research study, a signal processing system which consists of an electronic conditioning circuit to measure and process raw EMG signals into linear enveloped EMG signal and software to record and process the EMG signals were developed. Each circuit development stage is described in detail so that this research can be easily produced by others for future work and improvements. Experimental training and testing datasets from five subjects were collected to investigate the relationship between forearm EMG,hand grip force and wrist angle simultaneously. The wrist angles set for this research is 60,90° and 120 ° while the forces is set at 5%,15%,25% and 35%MVC.At the beginning, 100%/MVC were done by each subjects for the normalization of EMG signal Neural Network were used to represents the relationship and to estimate handgrip force and wrist angle from the EMG signal. The performance of the networks were indicated by Mean Square Error (MSE) and Mean Absolute Error (MAE) values. The results from neural network training shows good accuracy with low MSE (<= 0.0000001) and MAE(<0.2) value. The data obtained from the experiment has been analyzed and is useful, low-cost method to control a prostheses or robotic hand.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Norizan, Muhammad Alif
author_facet	Norizan, Muhammad Alif
author_sort	Norizan, Muhammad Alif
title	Relationship investigation of handgrip forces with varied wrist angles using forearm EMG for bionic hand
title_short	Relationship investigation of handgrip forces with varied wrist angles using forearm EMG for bionic hand
title_full	Relationship investigation of handgrip forces with varied wrist angles using forearm EMG for bionic hand
title_fullStr	Relationship investigation of handgrip forces with varied wrist angles using forearm EMG for bionic hand
title_full_unstemmed	Relationship investigation of handgrip forces with varied wrist angles using forearm EMG for bionic hand
title_sort	relationship investigation of handgrip forces with varied wrist angles using forearm emg for bionic hand
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Electrical Engineering
publishDate	2017
url	http://eprints.utem.edu.my/id/eprint/20911/1/Relationship%20investigation%20of%20handgrip%20forces%20with%20varied%20wrist%20angles%20using%20forearm%20EMG%20for%20bionic%20hand.pdf http://eprints.utem.edu.my/id/eprint/20911/2/Relationship%20investigation%20of%20handgrip%20forces%20with%20varied%20wrist%20angles%20using%20forearm%20EMG%20for%20bionic%20hand.pdf
_version_	1776103111623966720

Relationship investigation of handgrip forces with varied wrist angles using forearm EMG for bionic hand

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