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

Konomi Inaba, Akihiko Murai, Yuta Sugiura

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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%.

本文言語English
ホスト出版物のタイトルProceedings of the 30th Australian Computer-Human Interaction Conference, OzCHI 2018
編集者Ann Morrison, George Buchanan, Jenny Waycott, Mark Billinghurst, Duncan Stevenson, J.H.-J. Choi, Mark Billinghurst, Ryan Kelly, Dana McKay, Artur Lugmayr
出版社Association for Computing Machinery
ページ224-228
ページ数5
ISBN(電子版)9781450361880
DOI
出版ステータスPublished - 2018 12月 4
イベント30th Australian Conference on Computer-Human Interaction, OzCHI 2018 - Melbourne, Australia
継続期間: 2018 12月 42018 12月 7

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

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

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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