• DocumentCode
    3685018
  • Title

    Combining human volitional control with intrinsic controller on robotic prosthesis: A case study on adaptive slope walking

  • Author

    Baojun Chen;Qining Wang

  • Author_Institution
    Robotics Research Group, College of Engineering, Peking University, Beijing 100871, China
  • fYear
    2015
  • Firstpage
    4777
  • Lastpage
    4780
  • Abstract
    Affording lower-limb amputees the ability to volitionally control robotic prostheses can improve the adaptability to terrain changes as well as enhancing proprioception. However, it also increases amputees´ conscious burdens for prosthesis control. Therefore, in this paper, we aim to propose a hybrid controller which combines human volitional control with the intrinsic controller on the robotic transtibial prosthesis, enabling the amputee actively controlling prosthesis with little conscious attention. In this preliminary study, a hybrid controller for adaptive slope walking was designed. A slope estimator was embedded in the intrinsic controller to estimate the ground slope of the previous step using signals measured by prosthetic sensors. And a myoelectric controller allows the amputee subject to convey slope changes to prosthetic controller by volitionally contract his residual muscles, whose electromyography signals were mapped to the slope increment. The hybrid controller combined these two results to obtain the estimated slope. One male transtibial amputee subject was recruited in this research. Experiment results showed that the intrinsic slope estimator produced satisfactory estimation results with an average absolute error of 0.70 ± 0.54 degrees. By adding amputee´s volitional control, the hybrid controller is able to predict the upcoming slope changes.
  • Keywords
    "Prosthetics","Legged locomotion","Electromyography","Estimation","Muscles","Foot"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319462
  • Filename
    7319462