Center of pressure estimation and gait pattern recognition using shoes with photo-reflective sensors

Konomi Inaba, Akihiko Murai, Yuta Sugiura

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

Abstract

Gait analysis is an important issue in various fields. In this paper, we developed a shoe-type device to measure the foot pressure when walking. Our device measures the deformation of the sole when pressure is applied and is detected by sensors embedded in the sole. As pressure is not applied directly onto the sensors, the system has better durability and a wider dynamic range. We then proposed a method to estimate the center of pressure (CoP), obtaining an average coefficient of determination of 0.69. Our device also identifies gait patterns by obtaining the discrimination rate of 9 types of walking methods, averaging to an accuracy of 88%.

Original languageEnglish
Title of host publicationProceedings of the 30th Australian Computer-Human Interaction Conference, OzCHI 2018
EditorsAnn Morrison, George Buchanan, Jenny Waycott, Mark Billinghurst, Duncan Stevenson, J.H.-J. Choi, Mark Billinghurst, Ryan Kelly, Dana McKay, Artur Lugmayr
PublisherAssociation for Computing Machinery
Pages224-228
Number of pages5
ISBN (Electronic)9781450361880
DOIs
Publication statusPublished - 2018 Dec 4
Event30th Australian Conference on Computer-Human Interaction, OzCHI 2018 - Melbourne, Australia
Duration: 2018 Dec 42018 Dec 7

Publication series

NameACM International Conference Proceeding Series

Conference

Conference30th Australian Conference on Computer-Human Interaction, OzCHI 2018
CountryAustralia
CityMelbourne
Period18/12/418/12/7

Keywords

  • Gait analysis
  • Shoe device
  • Wearable sensor

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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