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Paper Abstract and Keywords
Presentation 2022-01-20 17:45
An Indoor Location Estimation Method with Learning Point Reduction
Imai Masahito, Koyama Akio (Yamagata Univ.) IT2021-59 SIP2021-67 RCS2021-227
Abstract (in Japanese) (See Japanese page) 
(in English) There are many location-based services using GPS. For instance, navigating a car, navigating pedestrians using apps on smartphones and providing some information about nearby stores have already been provided. The services that can be used in both outdoor and indoor environments will be provided if those services are steadily expanded. Therefore, indoor location estimation methods using BLE beacons, which can be installed at low cost, have been actively researched and developed. But those methods are not practical because the operating costs such as pre-learning costs are high in order to realize a highly accurate estimation. In this paper, we propose a highly accurate location estimation method that suppresses the learning data acquisition cost. In the proposed method, the learning data collected in a part of the similar environment using the BLE beacon is corrected and interpolated by using the Kalman filter and the linear interpolation method, and the location is estimated using it. In addition, considering the versatility, we also try verification in different environments and show the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Indoor location estimation / Fingerprint method / Learning point reduction / BLE beacon / Linear interpolation / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 329, RCS2021-227, pp. 173-178, Jan. 2022.
Paper # RCS2021-227 
Date of Issue 2022-01-13 (IT, SIP, RCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 IT2021-59 SIP2021-67 RCS2021-227

Conference Information
Committee RCS SIP IT  
Conference Date 2022-01-20 - 2022-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RCS 
Conference Code 2022-01-RCS-SIP-IT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Indoor Location Estimation Method with Learning Point Reduction 
Sub Title (in English)  
Keyword(1) Indoor location estimation  
Keyword(2) Fingerprint method  
Keyword(3) Learning point reduction  
Keyword(4) BLE beacon  
Keyword(5) Linear interpolation  
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1st Author's Name Imai Masahito  
1st Author's Affiliation Yamagata University (Yamagata Univ.)
2nd Author's Name Koyama Akio  
2nd Author's Affiliation Yamagata University (Yamagata Univ.)
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Speaker Author-1 
Date Time 2022-01-20 17:45:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # IT2021-59, SIP2021-67, RCS2021-227 
Volume (vol) vol.121 
Number (no) no.327(IT), no.328(SIP), no.329(RCS) 
Page pp.173-178 
#Pages 6 
Date of Issue 2022-01-13 (IT, SIP, RCS) 

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