GAVRe<sup>2</sup>: Towards Data-Driven Upper-Limb Rehabilitation with Adaptive-Feedback Gamification

Lai, Y; Sutjipto, S; Clout, MD; Carmichael, MG; Paul, G

GAVRe<sup>2</sup>: Towards Data-Driven Upper-Limb Rehabilitation with Adaptive-Feedback Gamification

Lai, Y

Sutjipto, S Clout, MD Carmichael, MG

Paul, G

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Publication Type:: Conference Proceeding
Citation:: 2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018, 2018, pp. 164 - 169
Issue Date:: 2018-07-02

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Field	Value	Language
dc.contributor.author	Lai, Y https://orcid.org/0000-0002-9381-5836	en_US
dc.contributor.author	Sutjipto, S	en_US
dc.contributor.author	Clout, MD	en_US
dc.contributor.author	Carmichael, MG https://orcid.org/0000-0001-8439-0074	en_US
dc.contributor.author	Paul, G https://orcid.org/0000-0002-3478-0020	en_US
dc.date.available	2020-05-25T19:28:22Z
dc.date.issued	2018-07-02	en_US
dc.identifier.citation	2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018, 2018, pp. 164 - 169	en_US
dc.identifier.isbn	9781728103761	en_US
dc.identifier.uri	http://hdl.handle.net/10453/128551
dc.description.abstract	© 2018 IEEE. This paper presents Game Adaptive Virtual Reality Rehabilitation (GAVRe2), a framework to augment upper limb rehabilitation using Virtual Reality (VR) gamification and haptic robotic manipulator feedback. GAVRe2 integrates independent systems in a modular fashion, connecting patients with therapists remotely to increase patient engagement during rehabilitation. GAVRe2 exploits VR capabilities to not only increase the productivity of therapists administering rehabilitation, but also to improve rehabilitation mobility for patients. Conventional rehabilitation requires face-to-face physical interactions in a clinical setting which can be inconvenient for patients. The GAVRe2 approach provides an avenue for rehabilitation in a domestic setting by remotely customizing a routine for the patient. Results are then reported back to therapists for data analysis and future training regime development. GAVRe2 is evaluated experimentally through a system that integrates a popular VR system, a RGB-D camera, and a collaborative industrial robot, with results indicating potential benefits for long-term rehabilitation and the opportunity for upper limb rehabilitation in a domestic setting.	en_US
dc.relation.ispartof	2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018	en_US
dc.relation.isbasedon	10.1109/ROBIO.2018.8665105	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	GAVRe<sup>2</sup>: Towards Data-Driven Upper-Limb Rehabilitation with Adaptive-Feedback Gamification	en_US
dc.type	Conference Proceeding
utslib.for	080602 Computer-Human Interaction	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	090302 Biomechanical Engineering	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 Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. This paper presents Game Adaptive Virtual Reality Rehabilitation (GAVRe2), a framework to augment upper limb rehabilitation using Virtual Reality (VR) gamification and haptic robotic manipulator feedback. GAVRe2 integrates independent systems in a modular fashion, connecting patients with therapists remotely to increase patient engagement during rehabilitation. GAVRe2 exploits VR capabilities to not only increase the productivity of therapists administering rehabilitation, but also to improve rehabilitation mobility for patients. Conventional rehabilitation requires face-to-face physical interactions in a clinical setting which can be inconvenient for patients. The GAVRe2 approach provides an avenue for rehabilitation in a domestic setting by remotely customizing a routine for the patient. Results are then reported back to therapists for data analysis and future training regime development. GAVRe2 is evaluated experimentally through a system that integrates a popular VR system, a RGB-D camera, and a collaborative industrial robot, with results indicating potential benefits for long-term rehabilitation and the opportunity for upper limb rehabilitation in a domestic setting.

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http://hdl.handle.net/10453/128551