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| Presentation | 2023-02-28 10:40 Indoor Localization for Pedestrians Using BLE Signals Emitted by Smartphones Aoi Suzuki, Takuhiro Uehara, Shino Shiraki, Shigeo Shioda (Chiba Univ.), Takeshi Hirai (Osaka Univ.)  SeMI2022-108 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The proximity-based location estimation method estimates the locations of terminals by classifying the distance between terminals into two values, “close” and “far”, rather than the distance between terminals itself. Therefore, in applying this method, it is important to have a means for the binary classification of the distance between terminals as well as to determine a threshold value for the binary distance classification. In this paper, we experimentally verify the estimation accuracy of the proximity-based location estimation method when the binary classification is made by BLE signals. First, we show that if the distance between terminals can be accurately classified into “close” or “far” by the BLE signal, the location estimation error is less than 1 m. On the other hand, with the existence of many obstacles, the BLE signal cannot correctly classify the distance between terminals into “close” or “far”, resulting in the location estimation error of about 3 meters. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | localization / non-linear optimization / contact information / proximity information / internet of things / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 390, SeMI2022-108, pp. 7-12, Feb. 2023. | |
| Paper # | SeMI2022-108 | |
| Date of Issue | 2023-02-21 (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) | |
| Download PDF | SeMI2022-108 |
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| Conference Information | |
| Committee | SeMI IPSJ-UBI IPSJ-MBL |
| Conference Date | 2023-02-28 - 2023-03-01 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SeMI |
| Conference Code | 2023-02-SeMI-UBI-MBL |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Indoor Localization for Pedestrians Using BLE Signals Emitted by Smartphones |
| Sub Title (in English) | |
| Keyword(1) | localization |
| Keyword(2) | non-linear optimization |
| Keyword(3) | contact information |
| Keyword(4) | proximity information |
| Keyword(5) | internet of things |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Aoi Suzuki |
| 1st Author's Affiliation | Chiba University (Chiba Univ.) |
| 2nd Author's Name | Takuhiro Uehara |
| 2nd Author's Affiliation | Chiba University (Chiba Univ.) |
| 3rd Author's Name | Shino Shiraki |
| 3rd Author's Affiliation | Chiba University (Chiba Univ.) |
| 4th Author's Name | Shigeo Shioda |
| 4th Author's Affiliation | Chiba University (Chiba Univ.) |
| 5th Author's Name | Takeshi Hirai |
| 5th Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2023-02-28 10:40:00 |
| Presentation Time | 20 minutes |
| Registration for | SeMI |
| Paper # | SeMI2022-108 |
| Volume (vol) | vol.122 |
| Number (no) | no.390 |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2023-02-21 (SeMI) |
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