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Paper Abstract and Keywords
Presentation 2020-03-12 13:45
Mobile Sensing of Pedestrian Mobility and its Assessment
Chenwei Song, Masaki Ito, Yuuki Nishiyama, Kaoru Sezaki (Univ.Tokyo) LOIS2019-77
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a client-server system that provides crowd detection and mobility information. Our proposed system has the advantages of low cost and location flexibility without pre-deployed, as long as there is a sufficient number of users involved. We conducted several experiments in real environments to determine the feasibility, accuracy and applicable environment of the system. The result shows that the system can effectively capture the flow of people in the experimental area. In some cases, under the same environment, it can obtain almost the same mobility tracking information from fewer participating users than the GPS method.
Keyword (in Japanese) (See Japanese page) 
(in English) Human mobility / Crowd detection / Bluetooth / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 477, LOIS2019-77, pp. 121-126, March 2020.
Paper # LOIS2019-77 
Date of Issue 2020-03-04 (LOIS) 
ISSN Online edition: ISSN 2432-6380
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 LOIS2019-77

Conference Information
Committee LOIS  
Conference Date 2020-03-11 - 2020-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Nobumoto Ohama Memorial Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2020-03-LOIS 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Mobile Sensing of Pedestrian Mobility and its Assessment 
Sub Title (in English)  
Keyword(1) Human mobility  
Keyword(2) Crowd detection  
Keyword(3) Bluetooth  
1st Author's Name Chenwei Song  
1st Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo (Univ.Tokyo)
2nd Author's Name Masaki Ito  
2nd Author's Affiliation Institute of Industrial Science, the University of Tokyo (Univ.Tokyo)
3rd Author's Name Yuuki Nishiyama  
3rd Author's Affiliation Institute of Industrial Science, the University of Tokyo (Univ.Tokyo)
4th Author's Name Kaoru Sezaki  
4th Author's Affiliation Institute of Industrial Science, the University of Tokyo (Univ.Tokyo)
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Speaker Author-1 
Date Time 2020-03-12 13:45:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2019-77 
Volume (vol) vol.119 
Number (no) no.477 
Page pp.121-126 
Date of Issue 2020-03-04 (LOIS) 

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