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Paper Abstract and Keywords
Presentation 2022-12-13 10:40
Learning-based People Flow Estimation using Wi-Fi Access Logs
Yuki Sakurai, Shingo Ata (Osaka Metropolitan Univ.) IN2022-48
Abstract (in Japanese) (See Japanese page) 
(in English) People flow analysis, which visualizes and analyzes the movement and/or stay of people in various locations, is attracting attention. As a method to analyze people flow without human intervention, wireless sensing of mobile terminals owned by people via Wi-Fi or Bluetooth has been considered. However, in recent years, from the viewpoint of privacy protection, there has been concern about identifying individuals from their behavioral history through connections based on the physical addresses of wireless terminals. In addition, due to the anonymization of physical addresses in operating systems, it is not easy to use this method directly for people flow estimation. In this paper, we propose a learning-based algorithm to estimate people flow from the history of observed number of persons at a certain point in time, using training data that maps time-series data of the number of persons based on Wi-Fi connection information to the number of movements per unit of time. We also verify the effectiveness of the proposed method using log data from the campus-wide Wi-Fi service.
Keyword (in Japanese) (See Japanese page) 
(in English) Wi-Fi / people flow grasp / regression analysis / people flow estimation / machine learning / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 305, IN2022-48, pp. 26-31, Dec. 2022.
Paper # IN2022-48 
Date of Issue 2022-12-05 (IN) 
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)
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Conference Information
Committee IN IA  
Conference Date 2022-12-12 - 2022-12-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Higashi-Senda campus, Hiroshima Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. 
Paper Information
Registration To IN 
Conference Code 2022-12-IN-IA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Learning-based People Flow Estimation using Wi-Fi Access Logs 
Sub Title (in English)  
Keyword(1) Wi-Fi  
Keyword(2) people flow grasp  
Keyword(3) regression analysis  
Keyword(4) people flow estimation  
Keyword(5) machine learning  
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1st Author's Name Yuki Sakurai  
1st Author's Affiliation Osaka Metropolitan University (Osaka Metropolitan Univ.)
2nd Author's Name Shingo Ata  
2nd Author's Affiliation Osaka Metropolitan University (Osaka Metropolitan Univ.)
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Speaker Author-1 
Date Time 2022-12-13 10:40:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2022-48 
Volume (vol) vol.122 
Number (no) no.305 
Page pp.26-31 
#Pages
Date of Issue 2022-12-05 (IN) 


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