Chinese Journal of Tissue Engineering Research ›› 2010, Vol. 14 ›› Issue (35): 6479-6482.doi: 10.3969/j.issn.1673-8225.2010.35.005

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Software design of a force-feedback virtual driving tele-rehabilitation system

Wang Yue-jiao, Song Ai-guo   

  1. Remote Control and Telerobot Key Laboratory of Jiangsu Province, School of Instrument Science and Engineering, Southeast University, Nanjing  210096, Jiangsu Province, China
  • Online:2010-08-27 Published:2010-08-27
  • About author:Wang Yue-jiao★, Studying for master’s degree, Remote Control and Telerobot Key Laboratory of Jiangsu Province, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, Jiangsu Province, China 13913314143@139.com
  • Supported by:

    the National High Technology Research and Development Program of China, No. 2008AA040202*; the National Science and Technology Supporting Program of China, No. 2008BAI50B05*

Abstract:

BACKGROUND: With the aging of population in China, demands for available rehabilitation are increasing. Rehabilitation robot which combined robotics technology with medicine theory and network communication technology can effectively solve the shortcomings of traditional methods.
OBJECTIVE: To develop a force-feedback virtual driving tele-rehabilitation software system according to the demands of stroke survivors and people with upper-limb deformity.
METHODS: The WSAAsyncSelect socket model was used for a secure network communication environment; ADO database management technology was introduced into information management. Virtual reality technology was applied to create a virtual driving environment. Data base administration technique rather than traditional document-based data processing was used to improve information management. Virtual driving environment can increase interests of rehabilitation, which also has clear data and video display interface.
RESULTS AND CONCLUSION: The system enjoys clear and intuitive, real-time video and data display interface, efficient data management techniques, and an interesting virtual driving environment. This system lays a foundation for future clinical application.

CLC Number: