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

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

Abstract

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.

Original languageEnglish
Title of host publicationAdvances 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
EditorsGiuseppe Di Bucchianico, Cliff Sungsoo Shin, Scott Shim, Shuichi Fukuda, Gianni Montagna, Cristina Carvalho
PublisherSpringer
Pages1007-1013
Number of pages7
ISBN (Print)9783030511937
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventAHFE 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
Duration: 2020 Jul 162020 Jul 20

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1202 AISC
ISSN (Print)2194-5357
ISSN (Electronic)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
Country/TerritoryUnited States
CitySan Diego
Period20/7/1620/7/20

Keywords

  • Gait training
  • Healthcare
  • Motion analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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