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Paper Abstract and Keywords
Presentation 2021-05-27 09:30
Retraining method of signal strength based model for indoor positioning
Masaaki Yamamoto, Hiroyuki Kuriyama, Kenji Nagamatsu (Hitachi) SeMI2021-1
Abstract (in Japanese) (See Japanese page) 
(in English) Covid-19 is continuing to spread around the world. Office workers therefore work in several sites to balance work and prevetation of its. A positioning system for estimating worker’s positions is attracting considerable attention. Given this background, we propose a machine-learning based positioning method. In this method, a positioning model is generated from the training data measured by smartphones. The model estimates a worker’s position from the test data measrured by worker’s smartphone. When the training data and the test data were measured by using different types of smartphones, a positioning error increased. In addition, a different holding state of smartphone increased the error, too. To reduce the error, we propose a method to update the training data according to the holding states and the types of smartphones.The evaluation of the proposed method was done with RMSE (Root Mean Square Error) as a metric. When using different holding states and the type of smartphone, RMSE of the method was reduced to 2.6 to 3.0m.
Keyword (in Japanese) (See Japanese page) 
(in English) Indoor positioning / Signal Strength / Retraining / Smartphone / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 41, SeMI2021-1, pp. 1-4, May 2021.
Paper # SeMI2021-1 
Date of Issue 2021-05-20 (SeMI) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 SeMI IPSJ-MBL IPSJ-DPS IPSJ-ITS  
Conference Date 2021-05-27 - 2021-05-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2021-05-SeMI-MBL-DPS-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Retraining method of signal strength based model for indoor positioning 
Sub Title (in English)  
Keyword(1) Indoor positioning  
Keyword(2) Signal Strength  
Keyword(3) Retraining  
Keyword(4) Smartphone  
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1st Author's Name Masaaki Yamamoto  
1st Author's Affiliation Hitachi, Ltd. (Hitachi)
2nd Author's Name Hiroyuki Kuriyama  
2nd Author's Affiliation Hitachi, Ltd. (Hitachi)
3rd Author's Name Kenji Nagamatsu  
3rd Author's Affiliation Hitachi, Ltd. (Hitachi)
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Speaker Author-1 
Date Time 2021-05-27 09:30:00 
Presentation Time 20 minutes 
Registration for SeMI 
Paper # SeMI2021-1 
Volume (vol) vol.121 
Number (no) no.41 
Page pp.1-4 
#Pages
Date of Issue 2021-05-20 (SeMI) 


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