A basic study on a method of evaluating 3-dimentional foot movements in walking

Maho Shiotani, Takashi Watanabe

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

2 Citations (Scopus)

Abstract

Lower limb motor function is important for activities of daily living. Since gait movements of elderly subjects differ from those of young people, gait measurement is considered to be effective for evaluating lower limb motor function. In this paper, focusing on foot movements during gait, a method of evaluating 3-dimentional movements of the foot during walking was examined. Gait movements were measured with 3 healthy females using the wireless inertial sensor system developed by our research group. Then, foot inclination angle and vector locus of the foot vector were calculated from angular velocity and acceleration signals by using quaternion-based attitude representation. They were projected onto each plane of the global coordinate system. The results showed similar angle waveforms and locus patterns between subjects. These suggested that the angles and the vector loci would be useful in evaluation of lower limb motor function. Developing quantitative evaluation method and making clear meanings of the angles and the vector loci projected to the planes are necessary.

Original languageEnglish
Title of host publication2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
PublisherIEEE Computer Society
Pages543-546
Number of pages4
ISBN (Print)9781479921317
DOIs
Publication statusPublished - 2014
Event2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014 - Valencia, Spain
Duration: 2014 Jun 12014 Jun 4

Publication series

Name2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014

Other

Other2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
Country/TerritorySpain
CityValencia
Period14/6/114/6/4

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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