Visualization of Features in Multivariate Gait Data: Use of a Deep Learning for the Visualization of Body Parts and Their Timing During Gait Training

Yusuke Osawa*, Keiichi Watanuki, Kazunori Kaede, Keiichi Muramatsu

*この研究の対応する著者

研究成果: Conference contribution

抄録

In this study, we aimed to examine the usefulness of gait classification and feature visualization based on multivariate data for the development of a gait feedback training system capable of considering the physical differences among the trainees. The multivariate data considered in this study were the joint angles and the ground reaction forces. In addition, all multivariate gait data were labeled as gait “rarely associated with stumbling” or “frequently associated with stumbling”. A convolutional neural network was used to learn the gait features. Furthermore, the feature parts of the multivariate gait data used for classification were visualized on a heat map created using Grad-CAM. As the results indicate, a heatmap is able to show the feature parts of a gait frequently associated with stumbling, through which the trainee can adjust their gait.

本文言語English
ホスト出版物のタイトルAdvances in Industrial Design - Proceedings of the AHFE 2020 Virtual Conferences on Design for Inclusion, Affective and Pleasurable Design, Interdisciplinary Practice in Industrial Design, Kansei Engineering, and Human Factors for Apparel and Textile Engineering
編集者Giuseppe Di Bucchianico, Cliff Sungsoo Shin, Scott Shim, Shuichi Fukuda, Gianni Montagna, Cristina Carvalho
出版社Springer
ページ1007-1013
ページ数7
ISBN(印刷版)9783030511937
DOI
出版ステータスPublished - 2020
外部発表はい
イベントAHFE Virtual Conference on Design for Inclusion, the Virtual Conference on Interdisciplinary Practice in Industrial Design, the Virtual Conference on Affective and Pleasurable Design, the Virtual Conference on Kansei Engineering, and the Virtual Conference on Human Factors for Apparel and Textile Engineering, 2020 - San Diego, United States
継続期間: 2020 7 162020 7 20

出版物シリーズ

名前Advances in Intelligent Systems and Computing
1202 AISC
ISSN(印刷版)2194-5357
ISSN(電子版)2194-5365

Conference

ConferenceAHFE Virtual Conference on Design for Inclusion, the Virtual Conference on Interdisciplinary Practice in Industrial Design, the Virtual Conference on Affective and Pleasurable Design, the Virtual Conference on Kansei Engineering, and the Virtual Conference on Human Factors for Apparel and Textile Engineering, 2020
国/地域United States
CitySan Diego
Period20/7/1620/7/20

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンス(全般)

フィンガープリント

「Visualization of Features in Multivariate Gait Data: Use of a Deep Learning for the Visualization of Body Parts and Their Timing During Gait Training」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

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