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A new VR bike system for balance rehabilitation training

  • Jeonbuk National University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Describes a bike system for the postural balance rehabilitation training. A virtual environment and three dimensional graphic models are designed with CAD tools such as 3D Studio Max™ and World Up™. For the real time bike simulation, the optimized WTK graphic library is embedded with the dynamic geometry generation method, multi-thread method, and portal generation method. In an experiment, 20 normal adults were tested to investigate the influencing factors of balancing posture. We evaluated the system by measuring the parameters such as path deviation, driving velocity, COP, and average weight shift. Also, we investigated the usefulness of visual feedback information by weight shift. The results showed that visual stimulus of continuous visual feedback by weight shift way more effective than that of non-visual feedback in the postural balance control. It is concluded that this system might be applied in clinical use as a postural balance training system.

Original languageEnglish
Title of host publicationProceedings - 7th International Conference on Virtual Systems and Multimedia, VSMM 2001
EditorsHal Thwaites, Lon Addison
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages790-799
Number of pages10
ISBN (Electronic)0769514022, 9780769514024
DOIs
StatePublished - 2001
Event7th International Conference on Virtual Systems and Multimedia, VSMM 2001 - Berkeley, United States
Duration: 2001.10.252001.10.27

Publication series

NameProceedings - 7th International Conference on Virtual Systems and Multimedia, VSMM 2001

Conference

Conference7th International Conference on Virtual Systems and Multimedia, VSMM 2001
Country/TerritoryUnited States
CityBerkeley
Period01.10.2501.10.27

Keywords

  • bike simulator
  • Postural balance
  • rehabilitation
  • virtual reality(VR)
  • visual feedback

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Mathematics
  • Engineering - Electrical & Electronic
  • Data Science

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