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Paper Abstract and Keywords
Presentation 2022-12-08 13:00
Walking support system for the visually impaired -- Study of collision avoidance support system with bicycles on sidewalks --
Ryuta Sekine, shun-ichi yonemura (SIT) WIT2022-8
Abstract (in Japanese) (See Japanese page) 
(in English) According to the Metropolitan Police Department statistics, in 2021, 43.6% of all traffic accidents will involve bicycles. There are many bicycles running on the sidewalk, and especially for the visually impaired, the situation where the bicycle runs at high speed on the sidewalk is a threat that leads to serious injury. The purpose of this study is to identify risk factors that visually impaired encounter while walking on sidewalks, and to construct a walking support system that avoids such risks. First, we conducted an interview survey with visually impaired in order to understand the current situation of walking on sidewalks. As a result, on sidewalks that are adjacent to roads, the sound of bicycles running is masked by environmental sounds such as the noise of cars and crowds, which delays the timing of noticing an approaching bicycle, creating a dangerous situation. It turned out that he was caught. From this, we believe that if visually impaired can be made to recognize the presence of a bicycle at an early stage, collision accidents on sidewalks can be avoided. In this paper, we propose a system that uses image analysis to detect approaching bicycles on the sidewalk and uses vibration to notify the visually impaired of the approaching bicycles. We built a prototype system using YOLO and conducted verification experiments. As a result, it was suggested that a visually impaired could take action to avoid a collision with a vibration notification if the bicycle was traveling on a sidewalk at an average speed. I will report it.
Keyword (in Japanese) (See Japanese page) 
(in English) visually impaired / walking support / collision avoidance / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 295, WIT2022-8, pp. 23-28, Dec. 2022.
Paper # WIT2022-8 
Date of Issue 2022-11-30 (WIT) 
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 WIT2022-8

Conference Information
Committee WIT HI-SIGACI  
Conference Date 2022-12-07 - 2022-12-08 
Place (in Japanese) (See Japanese page) 
Place (in English) AIST Tokyo Waterfront (TBD) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Well-being Information Technology 
Paper Information
Registration To WIT 
Conference Code 2022-12-WIT-SIGACI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Walking support system for the visually impaired 
Sub Title (in English) Study of collision avoidance support system with bicycles on sidewalks 
Keyword(1) visually impaired  
Keyword(2) walking support  
Keyword(3) collision avoidance  
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1st Author's Name Ryuta Sekine  
1st Author's Affiliation Sibaura Institute of Technology (SIT)
2nd Author's Name shun-ichi yonemura  
2nd Author's Affiliation Sibaura Institute of Technology (SIT)
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Speaker Author-1 
Date Time 2022-12-08 13:00:00 
Presentation Time 25 minutes 
Registration for WIT 
Paper # WIT2022-8 
Volume (vol) vol.122 
Number (no) no.295 
Page pp.23-28 
#Pages 6 
Date of Issue 2022-11-30 (WIT) 

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