Three Dimensional Human Condition Model during Walking Based on Emotion Estimation and Muscle Fatigue Evaluation

Eiichiro Tanaka, Yu Kai Gong, Yun Fan Li, Jun Yan Yang, Jyun Rong Zhuang, Keisuke Osawa

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

Abstract

We have developed walking assistance system considering the condition of the emotion and fatigue. This system consists of the emotion estimation, the fatigue evaluation, decision function of the walking condition, and walking assistive device. We already made the emotion estimation system, and obtained the method of muscle fatigue evaluation by NIRS, and the walking assistive device. To complete the decision function, it is necessary to recognize the current condition of the user's emotion and fatigue. In this paper, we proposed the three dimensional human condition model to decide the suitable walking setting. Finally, the example of using this model and the importance of the recognition both emotion and fatigue were shown.

Original languageEnglish
Title of host publication2022 World Automation Congress, WAC 2022
PublisherIEEE Computer Society
Pages633-637
Number of pages5
ISBN (Electronic)9798888314449
DOIs
Publication statusPublished - 2022
Event2022 World Automation Congress, WAC 2022 - San Antonio, United States
Duration: 2022 Oct 112022 Oct 15

Publication series

NameWorld Automation Congress Proceedings
Volume2022-October
ISSN (Print)2154-4824
ISSN (Electronic)2154-4832

Conference

Conference2022 World Automation Congress, WAC 2022
Country/TerritoryUnited States
CitySan Antonio
Period22/10/1122/10/15

Keywords

  • emotion estimation
  • fatigue evaluation
  • human condition model
  • walking assistance

ASJC Scopus subject areas

  • Control and Systems Engineering

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