Paper Abstract and Keywords |
Presentation |
2019-01-16 14:30
Prediction of Position for Mobile Objects based on BLE Signals and Machine Learning Nan Toma, Arata Sashida (Univ. of the Ryukyus), Hideki Kinjo (Okinawa Univ.), Morikazu Nakamura (Univ. of the Ryukyus), Akira Sakima (Kuniken Systems) MSS2018-76 SS2018-47 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper presents indoor positioning systems based on BLE signals and machine learning approaches.
We consider two systems in this paper, one where we locate multiple beacon signal receivers at fixed points while target objects hold a beacon device and the other where we set multiple beacons at fixed locations and target objects hold a receiver.
We employ the random forest algorithm and the XGBoost as machine learning.
Experimental evaluation shows our approaches perform very well and keep good precisions even though target objects move with walking speeds and there exist some obstacles for beacon signals' receiving. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Positioning System / BLE / Machine Learning / Random Forest / XGBoost / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 384, MSS2018-76, pp. 121-125, Jan. 2019. |
Paper # |
MSS2018-76 |
Date of Issue |
2019-01-08 (MSS, SS) |
ISSN |
Print edition: ISSN 0913-5685 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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MSS2018-76 SS2018-47 |
Conference Information |
Committee |
MSS SS |
Conference Date |
2019-01-15 - 2019-01-16 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
MSS |
Conference Code |
2019-01-MSS-SS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Prediction of Position for Mobile Objects based on BLE Signals and Machine Learning |
Sub Title (in English) |
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Keyword(1) |
Positioning System |
Keyword(2) |
BLE |
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Machine Learning |
Keyword(4) |
Random Forest |
Keyword(5) |
XGBoost |
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1st Author's Name |
Nan Toma |
1st Author's Affiliation |
University of the Ryukyus (Univ. of the Ryukyus) |
2nd Author's Name |
Arata Sashida |
2nd Author's Affiliation |
University of the Ryukyus (Univ. of the Ryukyus) |
3rd Author's Name |
Hideki Kinjo |
3rd Author's Affiliation |
Okinawa University (Okinawa Univ.) |
4th Author's Name |
Morikazu Nakamura |
4th Author's Affiliation |
University of the Ryukyus (Univ. of the Ryukyus) |
5th Author's Name |
Akira Sakima |
5th Author's Affiliation |
Kuniken Systems (Kuniken Systems) |
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Speaker |
Author-1 |
Date Time |
2019-01-16 14:30:00 |
Presentation Time |
25 minutes |
Registration for |
MSS |
Paper # |
MSS2018-76, SS2018-47 |
Volume (vol) |
vol.118 |
Number (no) |
no.384(MSS), no.385(SS) |
Page |
pp.121-125 |
#Pages |
5 |
Date of Issue |
2019-01-08 (MSS, SS) |
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