Kinetic and spatiotemporal gait analysis system using instrumented insoles and laser range sensor

Ryo Eguchi, Ayanori Yorozu, Masaki Takahashi

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

2 Citations (Scopus)

Abstract

Kinetic and spatiotemporal gait analysis provides important information for the treatment and rehabilitation of patients with gait disorders. Although motion analysis laboratories with infrared motion capture cameras and force plates are the gold standard measurement technologies for analysis, they are, in most cases, impractical for community health centers or general clinical settings because of their cost, scale, and usability. This paper presents an accessible gait analysis system that uses simultaneous measurements of instrumented insoles and a laser range sensor (LRS). In the proposed system, GRF and COP are estimated by sensor analysis taken from the insoles. Strides step width, cadence, and walking speed are measured by the LRS. In addition, stance durations including single limb support and double stance are detected at the insoles from accurate measurements of initial and end foot contact time. The GRF estimation method derived from the insole sensors and the integrated system with the LRS have been validated by measuring straight walking and comparing results with data obtained from motion analysis laboratories.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages705-709
Number of pages5
Volume2017-January
ISBN (Electronic)9781538616451
DOIs
Publication statusPublished - 2017 Nov 27
Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
Duration: 2017 Oct 52017 Oct 8

Other

Other2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
CountryCanada
CityBanff
Period17/10/517/10/8

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Keywords

  • Gait analysis
  • Instrumented insole
  • Laser range sensor
  • Simultaneous measurement

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Control and Optimization

Cite this

Eguchi, R., Yorozu, A., & Takahashi, M. (2017). Kinetic and spatiotemporal gait analysis system using instrumented insoles and laser range sensor. In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 (Vol. 2017-January, pp. 705-709). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2017.8122690