Paper Abstract and Keywords |
Presentation |
2022-05-26 17:15
BLECE: A Method of BLE-based Crowdedness Estimation in Public Facilities and Restaurants Yuki Matsuda (NAIST/JST PRESTO), Eigo Taya, Hirohiko Suwa, Keiichi Yasumoto (NAIST) SeMI2022-9 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The crowdedness information in various places in the city such as public transportation, facilities, and restaurants is one of the high-demand information for general people. However, it is difficult for users to acquire comprehensive data because existing services of crowdedness measurement separately collect and provide data in different ways. This study aims to establish the universal method of crowdedness estimation which is robust to various environments, by scanning BLE (Bluetooth Low Energy) signals emitted from mobile devices owned by general people. In this paper, we focused on public facilities and restaurants, and built crowdedness estimation models. As the result, we confirmed models trained with the same feature set for each space show certain performance. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Smart City / Crowdedness Estimation / Bluetooth Low Energy / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 46, SeMI2022-9, pp. 40-45, May 2022. |
Paper # |
SeMI2022-9 |
Date of Issue |
2022-05-19 (SeMI) |
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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SeMI2022-9 |
Conference Information |
Committee |
SeMI IPSJ-DPS IPSJ-MBL IPSJ-ITS |
Conference Date |
2022-05-26 - 2022-05-27 |
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(See Japanese page) |
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Paper Information |
Registration To |
SeMI |
Conference Code |
2022-05-SeMI-DPS-MBL-ITS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
BLECE: A Method of BLE-based Crowdedness Estimation in Public Facilities and Restaurants |
Sub Title (in English) |
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Keyword(1) |
Smart City |
Keyword(2) |
Crowdedness Estimation |
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Bluetooth Low Energy |
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1st Author's Name |
Yuki Matsuda |
1st Author's Affiliation |
Nara Institute of Science and Technology/JST PRESTO (NAIST/JST PRESTO) |
2nd Author's Name |
Eigo Taya |
2nd Author's Affiliation |
Nara Institute of Science and Technology (NAIST) |
3rd Author's Name |
Hirohiko Suwa |
3rd Author's Affiliation |
Nara Institute of Science and Technology (NAIST) |
4th Author's Name |
Keiichi Yasumoto |
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Nara Institute of Science and Technology (NAIST) |
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Speaker |
Author-1 |
Date Time |
2022-05-26 17:15:00 |
Presentation Time |
18 minutes |
Registration for |
SeMI |
Paper # |
SeMI2022-9 |
Volume (vol) |
vol.122 |
Number (no) |
no.46 |
Page |
pp.40-45 |
#Pages |
6 |
Date of Issue |
2022-05-19 (SeMI) |
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