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Usability and performance of leap motion and oculus rift for upper arm virtual reality stroke rehabilitation

Holmes, Dominic, Charles, D.K., Morrow, PJ, McClean, S and McDonough, S M (2017) Usability and performance of leap motion and oculus rift for upper arm virtual reality stroke rehabilitation. Journal of Alternative Medicine Research, 9 (4). 00-00. [Journal article]

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Abstract

Intensive rehabilitation is important for stroke survivors but difficult to achieve due to limited access to rehabilitation therapy. We present a virtual reality rehabilitation system, Target Acquiring Exercise (TAGER), designed to supplement center-based rehabilitation therapy by providing engaging and personalized exercises. TAGER uses natural user interface devices, namely 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 adequately, 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 robust, with valuable lessons learned to inform future design. The majority of users enjoyed using the Leap Motion controller and VR Headset, the inclusion of visual cues shows a general improvement in target acquiring performance and that Fitts’s Law can be used to linearly model user reaching and pointing movements in 3D environments. However, in some situations this isn’t the case, emphasizing the importance of user profiling to examine the user's kinematic behavior more intricately.

Item Type:Journal article
Keywords:Virtual reality, leap motion, oculus, stroke, rehabilitation, usability
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:37095
Deposited By: Dr Darryl Charles
Deposited On:06 Mar 2017 12:03
Last Modified:06 Mar 2017 12:03

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