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

  • Enhao Zheng
  • , Long Wang
  • , Yimin Luo
  • , Kunlin Wei
  • , Qining Wang
  • Peking University
  • National Research Center for Rehabilitation Technical Aids

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

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.

Original languageEnglish
Title of host publication2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013 - Seattle, WA, United States
Duration: 24 Jun 201326 Jun 2013

Publication series

NameIEEE International Conference on Rehabilitation Robotics
ISSN (Print)1945-7898
ISSN (Electronic)1945-7901

Conference

Conference2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013
Country/TerritoryUnited States
CitySeattle, WA
Period24/06/1326/06/13

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