• DocumentCode
    1983997
  • Title

    Non-contact capacitance sensing for continuous locomotion mode recognition: Design specifications and experiments with an amputee

  • Author

    Enhao Zheng ; Long Wang ; Yimin Luo ; Kunlin Wei ; Qining Wang

  • Author_Institution
    Intell. Control Lab., Peking Univ., Beijing, China
  • fYear
    2013
  • fDate
    24-26 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Locomotion mode recognition plays an important role in the control of powered lower-limb prostheses. In this paper, we present a non-contact capacitance sensing system (C-Sens) to measure the interfacial signals between the residual limb and the prosthetic socket. The system includes sensing front-ends, a sensing circuit, a control circuit and foot pressure insoles. In the proposed system, the electrodes are fixed on the inner surface of the socket, which couple with the human body forming capacitors. The foot pressure insoles are built for detecting gait phases. The data sequence is controlled by the control circuit. To evaluate the capacitance sensing system, experiments with a transtibial amputee are carried out and seven kinds of locomotion modes are recorded. With the continuous phase dependent classification method and the quadratic discriminant analysis (QDA) classifier, the average recognition accuracies are 93.8% and 95.0% for the stance phase and the swing phase respectively. The results show the potential of the proposed system for the control of powered lower-limb prostheses.
  • Keywords
    motion control; prosthetics; sensors; statistical analysis; C-Sens system; QDA classifier; continuous locomotion mode recognition; continuous phase dependent classification method; control circuit; data sequence; foot pressure insoles; gait phases detection; human body forming capacitors; noncontact capacitance sensing; powered lower-limb prostheses control; quadratic discriminant analysis; sensing circuit; sensing front-ends; stance phase; swing phase; transtibial amputee; Capacitance; Capacitors; Electrodes; Electromyography; Foot; Sensors; Sockets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1945-7898
  • Print_ISBN
    978-1-4673-6022-7
  • Type

    conf

  • DOI
    10.1109/ICORR.2013.6650410
  • Filename
    6650410