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Paper Abstract and Keywords
Presentation 2022-07-29 13:55
Behavior Analysis of Evacuees using Sparse Structure Learning for Development of Emergency Rescue Evacuation Support System
Yeboon Yun, Tomotaka Wada (Kansai Univ.) ICTSSL2022-13
Abstract (in Japanese) (See Japanese page) 
(in English) We have developed the Emergency Rescue Evacuation Support System (ERESS) which is designed to automatically detect disasters and under these situations, support safe and fast evacuation in real time. Main characteristics of ERESS are i) to communicate and share information among mobile terminals using MANET, ii) to analyze behaviors of the terminal holders, iii) to automatically detect disasters based on the previous information, iv) to search optimal evacuation routes, and v) to support safe and quick evacuee guidance. In this research, focusing on behaviors of the terminal holders in disasters, we investigate the characteristics on three types of behaviors -stopping, walking and running- in terms of correlation anomaly using graphical lasso of sparse structure learning with sensor data observed from terminals.
Keyword (in Japanese) (See Japanese page) 
(in English) ERESS / Behavior Change Detection / Graphical Lasso / Structure Sparse Graph / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 142, ICTSSL2022-13, pp. 16-21, July 2022.
Paper # ICTSSL2022-13 
Date of Issue 2022-07-22 (ICTSSL) 
ISSN 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)
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Conference Information
Committee ICTSSL  
Conference Date 2022-07-29 - 2022-07-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Kansai University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Disaster Prevention & General Session 
Paper Information
Registration To ICTSSL 
Conference Code 2022-07-ICTSSL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Behavior Analysis of Evacuees using Sparse Structure Learning for Development of Emergency Rescue Evacuation Support System 
Sub Title (in English)  
Keyword(1) ERESS  
Keyword(2) Behavior Change Detection  
Keyword(3) Graphical Lasso  
Keyword(4) Structure Sparse Graph  
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1st Author's Name Yeboon Yun  
1st Author's Affiliation Kansai University (Kansai Univ.)
2nd Author's Name Tomotaka Wada  
2nd Author's Affiliation Kansai University (Kansai Univ.)
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Speaker Author-1 
Date Time 2022-07-29 13:55:00 
Presentation Time 25 minutes 
Registration for ICTSSL 
Paper # ICTSSL2022-13 
Volume (vol) vol.122 
Number (no) no.142 
Page pp.16-21 
#Pages
Date of Issue 2022-07-22 (ICTSSL) 


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