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Paper Abstract and Keywords
Presentation 2024-10-11 10:25
An Evaluation of the Performance of EfficientNet Learning over Different Time Spans on Detection Performance in a Wi-Fi CSI-based Fall Detection System
Yuki Yanagida, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Graduate Univ.) ICTSSL2024-34
Abstract (in Japanese) (See Japanese page) 
(in English) The number of indoor falls among the elderly is increasing. Various fall detection systems are currently being
researched. However, systems using cameras have the problem of privacy, and systems using wearable terminals have the problem
of physical burden on the user. To solve these problems, a fall detection system using radio waves has been developed as a
technology that enables detection while remaining contactless. A system using Wi-Fi Channel State Information (CSI). In this
study, the detection performance of a Wi-Fi CSI-based fall detection system was evaluated using EfficientNet, a convolutional
neural network (CNN). In particular, the effects of learning in different time widths and learning with different normalisations
on the detection performance were evaluated.
Keyword (in Japanese) (See Japanese page) 
(in English) Wi=fi / CSI / Fall detection / Machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 198, ICTSSL2024-34, pp. 30-34, Oct. 2024.
Paper # ICTSSL2024-34 
Date of Issue 2024-10-03 (ICTSSL) 
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 ICTSSL2024-34

Conference Information
Committee ICTSSL IEE-SMF IN NWS  
Conference Date 2024-10-10 - 2024-10-11 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICTSSL 
Conference Code 2024-10-ICTSSL-SMF-IN-NWS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Evaluation of the Performance of EfficientNet Learning over Different Time Spans on Detection Performance in a Wi-Fi CSI-based Fall Detection System 
Sub Title (in English)  
Keyword(1) Wi=fi  
Keyword(2) CSI  
Keyword(3) Fall detection  
Keyword(4) Machine learning  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuki Yanagida  
1st Author's Affiliation Hiroshima City University Graduate School (Hiroshima City Graduate Univ.)
2nd Author's Name Makoto Kobayashi  
2nd Author's Affiliation Hiroshima City University Graduate School (Hiroshima City Graduate Univ.)
3rd Author's Name Koichi Shin  
3rd Author's Affiliation Hiroshima City University Graduate School (Hiroshima City Graduate Univ.)
4th Author's Name Masahiro Nishi  
4th Author's Affiliation Hiroshima City University Graduate School (Hiroshima City Graduate Univ.)
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Speaker Author-1 
Date Time 2024-10-11 10:25:00 
Presentation Time 25 minutes 
Registration for ICTSSL 
Paper # ICTSSL2024-34 
Volume (vol) vol.124 
Number (no) no.198 
Page pp.30-34 
#Pages 5 
Date of Issue 2024-10-03 (ICTSSL) 

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