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Glove-Based Technology in Hand Rehabilitation

Author

Listed:
  • Jamie Taylor

    (School of Computing and Intelligent Systems, University of Ulster, Londonderry, Northern Ireland)

  • Kevin Curran

    (School of Computing and Intelligent Systems, University of Ulster, Londonderry, Northern Ireland)

Abstract

Injuries to the hand are more common than those of any other body region and can have considerable financial, time-measured and psychological impact on not only the victim but the community as a whole. Hand rehabilitation aims to return people to their pre-injury roles and occupations and has proved largely successful in doing so with the potential for technology to improve these results further. However, most technology used in hand rehabilitation is based on expensive and non-durable glove-based systems and issues with accuracy are common among those which are not glove-based. The authors outline an accurate, affordable and portable solution wherein the authors use the Leap Motion as a tool for hand rehabilitation. User feedback will be given primarily through an animated 3d hand model as the user performs rehabilitative exercises. Exercise results will be recorded for later viewing by patients and clinicians. The system will also include Gamification aspects, techniques which (while proven to increase participation) have seen little to no use in hand-rehabilitation systems.

Suggested Citation

  • Jamie Taylor & Kevin Curran, 2015. "Glove-Based Technology in Hand Rehabilitation," International Journal of Innovation in the Digital Economy (IJIDE), IGI Global, vol. 6(1), pages 29-49, January.
  • Handle: RePEc:igg:jide00:v:6:y:2015:i:1:p:29-49
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    Cited by:

    1. Chenggang Wang & Tiansen Liu & Yue Zhu & Meng Lin & Wenhao Chang & Xinyu Wang & Dongrong Li & He Wang & Jinsol Yoo, 2022. "Digital Economy, Environmental Regulation and Corporate Green Technology Innovation: Evidence from China," IJERPH, MDPI, vol. 19(21), pages 1-18, October.

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