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| 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 |
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| 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 | 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 | ITS2020-39 |
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| 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 |
| Keyword(4) | |
| Keyword(5) | |
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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 | Author-1 |
| Date Time | 2021-03-15 11:00:00 |
| Presentation Time | 25 minutes |
| Registration for | ITS |
| Paper # | ITS2020-39 |
| Volume (vol) | vol.120 |
| Number (no) | no.428 |
| Page | pp.17-22 |
| #Pages | 6 |
| Date of Issue | 2021-03-08 (ITS) |
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