Leap motion controller and oculus rift virtual reality headset for upper arm stroke rehabilitation

    Research output: Chapter in Book/Report/Conference proceedingChapter

    2 Citations (Scopus)

    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 is not the case, emphasizing the importance of user profiling to examine the user’s kinematic behavior more intricately.

    Original languageEnglish
    Title of host publicationVirtual Reality
    Subtitle of host publicationRecent Advances in Virtual Rehabilitation System Design
    PublisherNova Science Publishers, Inc.
    Pages83-102
    Number of pages20
    ISBN (Electronic)9781536120615
    ISBN (Print)9781536120400
    Publication statusPublished - 1 Jan 2017

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