Electromyogram (EMG) Driven System Based Virtual Reality for Prosthetic and Rehabilitation Devices

Al-Jumaily, A; Olivares, R

Electromyogram (EMG) Driven System Based Virtual Reality for Prosthetic and Rehabilitation Devices

Al-Jumaily, A

Olivares, R

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Publisher:: The Association for Computing Machinery
Publication Type:: Conference Proceeding
Citation:: The 11th International Conference on Information Integration and Web-based Applications & Services (iiWAS2009)( ACM), 2009, pp. 580 - 584
Issue Date:: 2009-01

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Field	Value	Language
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463	en_US
dc.contributor.author	Olivares, R	en_US
dc.contributor.editor	Kotsis, G	en_US
dc.contributor.editor	Taniar, D	en_US
dc.contributor.editor	Pardede, E	en_US
dc.contributor.editor	Khalil, I	en_US
dc.date	2009-12-14	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	The 11th International Conference on Information Integration and Web-based Applications & Services (iiWAS2009)( ACM), 2009, pp. 580 - 584	en_US
dc.identifier.isbn	9783854032601	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10864
dc.description.abstract	The users of current prosthetic and rehabilitation devices are facing problems to adapt to their new hosts or not receiving any bio-feedback despite rehabilitation process and retraining, particularly when working with Electromyogram (EMG) signals. In characterizing virtual human limbs, as a potential prosthetic device in 3D virtual reality, patients are able to familiarize themselves with their new appendage and its capabilities in a virtual training environment or can see their movements intention. This paper presents a Virtual Reality (VR) based design and implementation of a below-shoulder 3D human arm capable of 10-class EMG based motions driven system of biomedical EMG signal. The method considers a signal classification output as potential control stimulus to drive the virtual prosthetic prototype. A hierarchical design methodology is adopted based on anatomical structure, congruent with Virtual Reality Modeling Language (VRML) architecture. The resulting simulation is based on a portable, self-contained VR model implementation paired with an instrumental virtual control-select board capable of actuating any combinations of singular or paired kinematic 10-class EMG motions. The built model allows for multiple degree of freedom profiles as the classes can be activated independently or in conjunction with others allowing enhanced arm movement.	en_US
dc.publisher	The Association for Computing Machinery	en_US
dc.relation.ispartof	The 11th International Conference on Information Integration and Web-based Applications & Services (iiWAS2009)( ACM)	en_US
dc.relation.ispartof	Information Integration and Web-based Applications and Services	en_US
dc.title	Electromyogram (EMG) Driven System Based Virtual Reality for Prosthetic and Rehabilitation Devices	en_US
dc.type	Conference Proceeding
utslib.location	USA	en_US
utslib.location.activity	Malaysia	en_US
utslib.for	0803 Computer Software	en_US
dc.location.activity	Malaysia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	USA	en_US
pubs.start-date	2009-12-14	en_US

Abstract:

The users of current prosthetic and rehabilitation devices are facing problems to adapt to their new hosts or not receiving any bio-feedback despite rehabilitation process and retraining, particularly when working with Electromyogram (EMG) signals. In characterizing virtual human limbs, as a potential prosthetic device in 3D virtual reality, patients are able to familiarize themselves with their new appendage and its capabilities in a virtual training environment or can see their movements intention. This paper presents a Virtual Reality (VR) based design and implementation of a below-shoulder 3D human arm capable of 10-class EMG based motions driven system of biomedical EMG signal. The method considers a signal classification output as potential control stimulus to drive the virtual prosthetic prototype. A hierarchical design methodology is adopted based on anatomical structure, congruent with Virtual Reality Modeling Language (VRML) architecture. The resulting simulation is based on a portable, self-contained VR model implementation paired with an instrumental virtual control-select board capable of actuating any combinations of singular or paired kinematic 10-class EMG motions. The built model allows for multiple degree of freedom profiles as the classes can be activated independently or in conjunction with others allowing enhanced arm movement.

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http://hdl.handle.net/10453/10864