Gait phase detection based on non-contact capacitive sensing: Preliminary results

Enhao Zheng, Nicola Vitiello, Qining Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Gait phase detection is essential to the control of lower-limb exoskeletons. In this paper, we present a non-contact capacitive sensing strategy for gait phase detection to replace foot pressure sensors. The designed capacitance sensing system can record signals of human muscle contraction from the leg. The electrodes are non-contact with the skin, which are fixed on the particularly designed cuffs. To evaluate the performance of the capacitance sensing on gait phase detection, two experiments are conducted on healthy subjects. With selected features and sliding window classification method, the proposed method obtains 98.3% average accuracy with the sensing cuff on the shank and 96.5% accuracy with the sensing cuff on the thigh for level walking tasks. The system also accurately recognizes the gait events (largest error rate smaller than 0.6%) when walking speed changes. The preliminary results indicate that the proposed sensing strategy is a promising solution to provide useful gait information for exoskeleton control.

Original languageEnglish
Title of host publicationIEEE International Conference on Rehabilitation Robotics
PublisherIEEE Computer Society
Pages43-48
Number of pages6
Volume2015-September
ISBN (Print)9781479918072
DOIs
Publication statusPublished - Sep 28 2015
Event14th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics, ICORR 2015 - Singapore, Singapore
Duration: Aug 11 2015Aug 14 2015

Other

Other14th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics, ICORR 2015
CountrySingapore
CitySingapore
Period8/11/158/14/15

Keywords

  • exoskeleton
  • gait events
  • gait phase detection
  • Non-contact capacitive sensing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Rehabilitation

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  • Cite this

    Zheng, E., Vitiello, N., & Wang, Q. (2015). Gait phase detection based on non-contact capacitive sensing: Preliminary results. In IEEE International Conference on Rehabilitation Robotics (Vol. 2015-September, pp. 43-48). [7281173] IEEE Computer Society. https://doi.org/10.1109/ICORR.2015.7281173