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Usability and Performance of Leap Motion and Oculus Rift for Upper Arm Virtual Reality Stroke Rehabilitation

Holmes, Dominic, Charles, DK, Morrow, PJ, McClean, S and McDonough, SM (2016) Usability and Performance of Leap Motion and Oculus Rift for Upper Arm Virtual Reality Stroke Rehabilitation. In: 11th International Conference on Disability, Virtual Reality & Associated Technologies. Central Archive at the University of Reading. 9 pp. [Conference contribution]

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Abstract

Intensified rehabilitation is important for stroke survivors but difficult to achieve due to limited access to physiotherapy. We present a virtual reality rehabilitation system, Target Acquiring Exercise (TAGER), designed to supplement center-based physiotherapy by providing engaging and personalized exercises. TAGER uses natural user interface devices, the Microsoft Kinect, Leap Motion and Myo armband, to track upper arm and body motion. Linear regression was applied to 3D user motion data using four popular forms of Fitts’s law and each approach evaluated. While all four forms of Fitt’s Law produced similar results and could model users effectively, it may be argued that a 3D tailored form provided the best fit. However, we propose that Fitts’s Law may be more suitable as the basis of a more complex model to profile user performance. Evaluated by healthy users TAGER proved effective, with important lessons learned which will inform future design.

Item Type:Conference contribution (Paper)
Keywords:Games, Virtual Reality, Upper arm, stroke Rehabilitation, Leap Motion, Oculus Rift.
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Health Sciences
Research Institutes and Groups:Institute of Nursing and Health Research > Centre for Health and Rehabilitation Technologies
Institute of Nursing and Health Research
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:35137
Deposited By: Dr Darryl Charles
Deposited On:08 Nov 2016 12:19
Last Modified:08 Nov 2016 12:19

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