Paper Abstract and Keywords |
Presentation |
2021-10-14 10:15
An Experimental Study on Improving Accuracy of Location Estimation in Finger Print Using CNN and ResNet Yu Sakanishi, Satoru Aikawa, Shinichiro Yamamoto, Yuta Sakai (Univ of Hyogo) CS2021-52 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, indoor navigation system is one of the important technologies. We are studying
an indoor location estimation technique using wireless LAN employing a Finger Print scheme. A database (DB) and user data (UD) are measured from wireless LAN radio waves to estimate the location using the Finger Print. A CNN is utilized to compare the UD and DB. However, the CNN estimation accuracy may deteriorate due to the degradation problem caused by the increase in the number of middle layers and the gradient vanishing problem. ResNet is a solution to this problem. In this study, we have evaluated estimation accuracies of CNN and ResNet experimentally. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Wireless LAN / Finger Print / CNN / ResNet / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 198, CS2021-52, pp. 1-5, Oct. 2021. |
Paper # |
CS2021-52 |
Date of Issue |
2021-10-07 (CS) |
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) |
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CS2021-52 |
Conference Information |
Committee |
CS |
Conference Date |
2021-10-14 - 2021-10-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Broadband access, Home network, Network service, Communication applications, etc. |
Paper Information |
Registration To |
CS |
Conference Code |
2021-10-CS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An Experimental Study on Improving Accuracy of Location Estimation in Finger Print Using CNN and ResNet |
Sub Title (in English) |
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Keyword(1) |
Wireless LAN |
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Finger Print |
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CNN |
Keyword(4) |
ResNet |
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1st Author's Name |
Yu Sakanishi |
1st Author's Affiliation |
University of Hyogo (Univ of Hyogo) |
2nd Author's Name |
Satoru Aikawa |
2nd Author's Affiliation |
University of Hyogo (Univ of Hyogo) |
3rd Author's Name |
Shinichiro Yamamoto |
3rd Author's Affiliation |
University of Hyogo (Univ of Hyogo) |
4th Author's Name |
Yuta Sakai |
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University of Hyogo (Univ of Hyogo) |
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Speaker |
Author-1 |
Date Time |
2021-10-14 10:15:00 |
Presentation Time |
25 minutes |
Registration for |
CS |
Paper # |
CS2021-52 |
Volume (vol) |
vol.121 |
Number (no) |
no.198 |
Page |
pp.1-5 |
#Pages |
5 |
Date of Issue |
2021-10-07 (CS) |
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