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Paper Abstract and Keywords
Presentation 2022-07-08 14:00
Investigation of features using cluster analysis in estimating subjective fatigue while walking
Yuya Okazaki, Yuya Itagaki, Yuukou Horita (Univ.of Toyama) IMQ2022-6 HIP2022-37
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, attention has been focused on the construction of evaluation indices and estimation models that express the degree of human happiness and satisfaction, as typified by well-being. In addition, the accurate estimation of the amount of exercise, stress, activity, and fatigue from biometric information and acceleration information caused by body movements is expected to lead to the verification of health promotion effects. Therefore, focusing on the fact that wearable devices have become smaller and lighter, reducing the burden and discomfort of users when wearing them, this study constructs an estimation model of subjective fatigue using heart rate variability and physical acceleration during walking using a wearable device by means of regression analysis. In addition, the tendency of subjective fatigue level of each subject is clustered by Ward's method, a regression model is constructed for the entire subject and each cluster, and features that are considered significant for estimating the subjective fatigue level are investigated.
Keyword (in Japanese) (See Japanese page) 
(in English) Heart rate variability / Acceleration / Angular velocity / Subjective fatigue / Regression analysis / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 100, IMQ2022-6, pp. 11-14, July 2022.
Paper # IMQ2022-6 
Date of Issue 2022-07-01 (IMQ, HIP) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IMQ2022-6 HIP2022-37

Conference Information
Committee IMQ HIP  
Conference Date 2022-07-08 - 2022-07-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Satellite Campus, Sapporo City University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Media Quality and Human Information Processing 
Paper Information
Registration To IMQ 
Conference Code 2022-07-IMQ-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Investigation of features using cluster analysis in estimating subjective fatigue while walking 
Sub Title (in English)  
Keyword(1) Heart rate variability  
Keyword(2) Acceleration  
Keyword(3) Angular velocity  
Keyword(4) Subjective fatigue  
Keyword(5) Regression analysis  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuya Okazaki  
1st Author's Affiliation University of Toyama (Univ.of Toyama)
2nd Author's Name Yuya Itagaki  
2nd Author's Affiliation University of Toyama (Univ.of Toyama)
3rd Author's Name Yuukou Horita  
3rd Author's Affiliation University of Toyama (Univ.of Toyama)
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Speaker Author-1 
Date Time 2022-07-08 14:00:00 
Presentation Time 25 minutes 
Registration for IMQ 
Paper # IMQ2022-6, HIP2022-37 
Volume (vol) vol.122 
Number (no) no.100(IMQ), no.101(HIP) 
Page pp.11-14 
#Pages 4 
Date of Issue 2022-07-01 (IMQ, HIP) 

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