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Paper Abstract and Keywords
Presentation 2024-11-14 11:20
Indoor positioning using Transformer model based on geomagnetism and movement displacement from dead reckoning
Haruki Nakano, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.) ISEC2024-65 SITE2024-62 LOIS2024-29
Abstract (in Japanese) (See Japanese page) 
(in English) This study proposes an indoor positioning method using a Transformer model that integrates geomagnetic vectors with dead reckoning displacement data. Traditional methods that rely solely on geomagnetic data often exhibit high error rates, particularly when magnetic intensity is affected by noise. By incorporating displacement information, we enhance the feature set and improve robustness against noise. Our experiments, which introduced normally distributed noise to geomagnetic intensity derived from real-world measurements, demonstrated that the mean absolute error for the geomagnetic-only approach was 1.138 m. By incorporating displacement data, this error was reduced to 0.255 m.
Keyword (in Japanese) (See Japanese page) 
(in English) Indoor positioning / Geomagnetism / Dead reckoning / Deep learning / Time-serices data / Smartphone / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 257, LOIS2024-29, pp. 17-22, Nov. 2024.
Paper # LOIS2024-29 
Date of Issue 2024-11-07 (ISEC, SITE, LOIS) 
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 ISEC2024-65 SITE2024-62 LOIS2024-29

Conference Information
Committee SITE LOIS ISEC  
Conference Date 2024-11-14 - 2024-11-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2024-11-SITE-LOIS-ISEC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Indoor positioning using Transformer model based on geomagnetism and movement displacement from dead reckoning 
Sub Title (in English)  
Keyword(1) Indoor positioning  
Keyword(2) Geomagnetism  
Keyword(3) Dead reckoning  
Keyword(4) Deep learning  
Keyword(5) Time-serices data  
Keyword(6) Smartphone  
Keyword(7)  
Keyword(8)  
1st Author's Name Haruki Nakano  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Takeshi Umezawa  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Noritaka Osawa  
3rd Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2024-11-14 11:20:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # ISEC2024-65, SITE2024-62, LOIS2024-29 
Volume (vol) vol.124 
Number (no) no.255(ISEC), no.256(SITE), no.257(LOIS) 
Page pp.17-22 
#Pages 6 
Date of Issue 2024-11-07 (ISEC, SITE, LOIS) 

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