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Paper Abstract and Keywords
Presentation 2024-06-14 14:55
Determining whether respiration information can be measured under driving operation using smart seatbelt buckle signals
Ryo Terashima, Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.) ITS2024-5
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, driver conditions have been monitored using biometric signals to prevent traffic accidents. One such system is the smart seatbelt buckle （SSB）, which incorporates a sensor device in the seatbelt buckle to measure respiration. However, there is a problem that breathing information cannot be extracted correctly due to body movements during driving. In this study, we proposed a method to determine whether a certain interval of SSB signals can be used as a respiratory waveform （i.e., whether respiratory features can be extracted properly） using machine learning, and evaluated the effectiveness of the method through experiments using a driving simulator. As a result, the method was able to determine with an accuracy of approximately 80% whether or not the SSB signal had a disturbance in a certain section.
Keyword (in Japanese) (See Japanese page) 
(in English) seat belt / body movement / respiratory information / machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 79, ITS2024-5, pp. 21-26, June 2024.
Paper # ITS2024-5 
Date of Issue 2024-06-07 (ITS) 
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 ITS2024-5

Conference Information
Committee ITS  
Conference Date 2024-06-14 - 2024-06-14 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ITS 
Conference Code 2024-06-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Determining whether respiration information can be measured under driving operation using smart seatbelt buckle signals 
Sub Title (in English)  
Keyword(1) seat belt  
Keyword(2) body movement  
Keyword(3) respiratory information  
Keyword(4) machine learning  
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1st Author's Name Ryo Terashima  
1st Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
2nd Author's Name Haruki Kawanaka  
2nd Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
3rd Author's Name Koji Oguri  
3rd Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
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Speaker Author-1 
Date Time 2024-06-14 14:55:00 
Presentation Time 25 minutes 
Registration for ITS 
Paper # ITS2024-5 
Volume (vol) vol.124 
Number (no) no.79 
Page pp.21-26 
#Pages 6 
Date of Issue 2024-06-07 (ITS) 

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