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Paper Abstract and Keywords
Presentation 2021-03-15 11:00
Estimating Passenger's Fall Risk based on the Motion of Boarding a Bus
Miyu Yokoyama (Aichi Prefectural Univ.), Masahiro Inami, Hideaki Yamaguchi (Aisin Seiki Co., Ltd.), Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.) ITS2020-39
Abstract (in Japanese) (See Japanese page) 
(in English) The number of fall accidents inside of the bus has been regarded as a problem. Passengers those who cannot cope with the swing during acceleration due to the weakening of their muscle strength and sense of balance easily fall over, and be seriously injured in an in-vehicle accident. In particular, such a fall accident is likely to occur at the time of start, so it is necessary to understand the risk of a passenger falling before start and drive accordingly. Therefore, in this study, we propose a method to estimate the passengers’ fall risk from the motion of boarding the bus by using the surveillance camera image inside it. The score of Mini-BESTest is used as the fall risk, passengers with high risk are detected, and the passengers’ score are estimated by machine learning. As experimental results, the effectiveness of the proposed method of estimating the fall risk from the boarding motion was confirmed.
Keyword (in Japanese) (See Japanese page) 
(in English) Fall Risk / Mini-BESTest / Boarding motion / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 428, ITS2020-39, pp. 17-22, March 2021.
Paper # ITS2020-39 
Date of Issue 2021-03-08 (ITS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 ITS2020-39

Conference Information
Committee ITS IEE-ITS  
Conference Date 2021-03-15 - 2021-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information Processing for ITS, etc. 
Paper Information
Registration To ITS 
Conference Code 2021-03-ITS-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimating Passenger's Fall Risk based on the Motion of Boarding a Bus 
Sub Title (in English)  
Keyword(1) Fall Risk  
Keyword(2) Mini-BESTest  
Keyword(3) Boarding motion  
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1st Author's Name Miyu Yokoyama  
1st Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
2nd Author's Name Masahiro Inami  
2nd Author's Affiliation Aisin Seiki Company Limited (Aisin Seiki Co., Ltd.)
3rd Author's Name Hideaki Yamaguchi  
3rd Author's Affiliation Aisin Seiki Company Limited (Aisin Seiki Co., Ltd.)
4th Author's Name Haruki Kawanaka  
4th Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
5th Author's Name Koji Oguri  
5th Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
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Speaker
Date Time 2021-03-15 11:00:00 
Presentation Time 25 
Registration for ITS 
Paper # IEICE-ITS2020-39 
Volume (vol) IEICE-120 
Number (no) no.428 
Page pp.17-22 
#Pages IEICE-6 
Date of Issue IEICE-ITS-2021-03-08 


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