• DocumentCode
    3572976
  • Title

    Research on evaluation system of upper limb rehabilitation training based on virtual reality interaction

  • Author

    Lan Wang ; Yuanhang Sun

  • Author_Institution
    Sch. of Mechatron. Eng., Harbin Eng. Univ., Harbin, China
  • fYear
    2014
  • Firstpage
    2798
  • Lastpage
    2803
  • Abstract
    During rehabilitation training process, It is important to observe the patients condition and record the patient information of in real-time. In this paper, we establish the rehabilitation training and evaluation system based on the PHANToM Omni force feedback device and real-time wireless sensor motion capture and mechanical evaluation system(FAB). The experimenter holding PHANToM Omni force feedback device end effector, the FAB being tied to the experimenter. PHANToM Omni makes the training trajectory and the resistance. FAB collect the information of the muscle force and the information of the joint during moving passively and actively. And we built the motion model with the method of the regression analysis and analyzes the purpose and meaning. This paper is funded by the International Exchange Program of Harbin Engineering University for Innovation-oriented Talents Cultivation.
  • Keywords
    end effectors; force feedback; medical computing; medical robotics; patient rehabilitation; regression analysis; virtual reality; wireless sensor networks; FAB; PHANToM omni force feedback device end effector; PHANToM omniforce feedback device; mechanical evaluation system; motion model; muscle force; patient information recording; real-time wireless sensor motion capture system; regression analysis; upper limb rehabilitation training; virtual reality interaction; Automation; Force feedback; Intelligent control; Phantoms; Real-time systems; Training; Virtual reality; Upper limb rehabilitation robot; rehabilitation evaluation; virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053170
  • Filename
    7053170