Using knitted sensor technology to identify gait events during walking

Stephen Preece*, Laurence Kenney, Matty Major, Tilak Dias, Edward Lay

*Corresponding author for this work

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

Abstract

Wearable sensor technology has potential application in a number of areas of rehabilitation medicine. In this study we investigated the performance of a knitted resistive strain sensor, integrated into a sock, during walking. Our results showed that, although there were differences between sensor output and ankle joint angle, a simple algorithm could be used to estimate three gait events: heel strike, toe off and heel lift. This demonstrates the potential for knitted sensor technology to be used in future functional electrical stimulation applications.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th IASTED International Conference on Biomedical Engineering, BioMED 2010
Pages25-26
Number of pages2
Volume2
StatePublished - Dec 1 2010
Event7th IASTED International Conference on Biomedical Engineering, BioMED 2010 - Innsbruck, Austria
Duration: Feb 17 2010Feb 19 2010

Other

Other7th IASTED International Conference on Biomedical Engineering, BioMED 2010
CountryAustria
CityInnsbruck
Period2/17/102/19/10

Keywords

  • Functional electrical stimulation
  • Gait event prediction
  • Knitted sensors

ASJC Scopus subject areas

  • Biomedical Engineering
  • Medicine (miscellaneous)

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