• DocumentCode
    2747030
  • Title

    Dynamically Removing Partial Body Mass Using Acceleration Feedback for Neural Training

  • Author

    Ma, Ou ; Diao, Xiumin ; Martinez, Lucas ; Sarkodie-Gyan, Thompson

  • Author_Institution
    New Mexico State Univ., Las Cruces
  • fYear
    2007
  • fDate
    13-15 June 2007
  • Firstpage
    1102
  • Lastpage
    1107
  • Abstract
    This paper describes a control strategy for an active body suspension system for treadmill based neural rehabilitation or training devices. Using an acceleration feedback, the system behaves like dynamically removing part or all of the body mass of the trainee so that he/she will truly feel like having a reduced mass while being trained for walking, jogging, or other leg activities on a treadmill. It will be shown that the proposed controller can compensate any amount of inertia force which would not be present as if the trainee had a real reduced mass. As a result, the dynamic load on the trainee´s body as well as the supporting legs during an exercise will also be reduced correspondingly. Simulation results are presented to demonstrate the benefits of the actively controlled body suspension system.
  • Keywords
    acceleration control; biomechanics; feedback; handicapped aids; learning (artificial intelligence); medical robotics; patient rehabilitation; acceleration feedback; active body suspension system; control strategy; dynamic load; inertia force; jogging; leg activities; neural training; partial body mass; treadmill based neural rehabilitation device; walking; Acceleration; Aerospace engineering; Control systems; Counting circuits; Force control; Leg; Legged locomotion; Neurofeedback; Rehabilitation robotics; Weight control; Suspension; acceleration feedback; cable robot; neural training; rehabilitation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Rehabilitation Robotics, 2007. ICORR 2007. IEEE 10th International Conference on
  • Conference_Location
    Noordwijk
  • Print_ISBN
    978-1-4244-1319-5
  • Electronic_ISBN
    978-1-4244-1320-1
  • Type

    conf

  • DOI
    10.1109/ICORR.2007.4428561
  • Filename
    4428561