Paper Abstract and Keywords |
Presentation |
2021-03-15 11:35
A Study of Human Flow Sensing Method Using Wi-Fi Packets Ryoma Toyomi, Yusuke Fujino, Atsuo Ozaki (OIT) MSS2020-45 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, due to the outbreak of the new coronavirus, there has been a series of cancellations and reductions in the scale of events, as well as shortened business hours and self-restraint at commercial facilities. The managers of events and commercial facilities can relatively easily take measures to control congestion at obvious locations, but it is difficult to detect congested locations at an early stage when they change dynamically, and to cope to them. In this paper, we proposed a method to obtain the distribution of the number of people in the target space in real time by detecting Wi-Fi probe packets emitted from Wi-Fi terminals held by visitors, and to understand the flow trend and predict the occurrence of congestion. We also studied a method to understand the flow trend even when the MAC address of the Wi-Fi terminal changes (anonymization). In addition, we explained the field verification plan of the proposed method and its evaluation method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Flow of the person / Sensing / Wi-Fi / Probe Request / Packet sensor / MAC address randomization / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 429, MSS2020-45, pp. 10-13, March 2021. |
Paper # |
MSS2020-45 |
Date of Issue |
2021-03-08 (MSS) |
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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MSS2020-45 |
Conference Information |
Committee |
NLP MSS |
Conference Date |
2021-03-15 - 2021-03-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
MSS, NLP, Work In Progress (MSS only), and etc. |
Paper Information |
Registration To |
MSS |
Conference Code |
2021-03-NLP-MSS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study of Human Flow Sensing Method Using Wi-Fi Packets |
Sub Title (in English) |
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Keyword(1) |
Flow of the person |
Keyword(2) |
Sensing |
Keyword(3) |
Wi-Fi |
Keyword(4) |
Probe Request |
Keyword(5) |
Packet sensor |
Keyword(6) |
MAC address randomization |
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1st Author's Name |
Ryoma Toyomi |
1st Author's Affiliation |
Osaka Institute of Technology (OIT) |
2nd Author's Name |
Yusuke Fujino |
2nd Author's Affiliation |
Osaka Institute of Technology (OIT) |
3rd Author's Name |
Atsuo Ozaki |
3rd Author's Affiliation |
Osaka Institute of Technology (OIT) |
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Speaker |
Author-1 |
Date Time |
2021-03-15 11:35:00 |
Presentation Time |
25 minutes |
Registration for |
MSS |
Paper # |
MSS2020-45 |
Volume (vol) |
vol.120 |
Number (no) |
no.429 |
Page |
pp.10-13 |
#Pages |
4 |
Date of Issue |
2021-03-08 (MSS) |
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