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Paper Abstract and Keywords
Presentation 2025-03-06 13:40
A Study on CSI Based Human Fall Detection System in Wi-Fi Sensing
He Kaixuan, Yuhei Nagao, Masayuki Kurosaki (KIT) SIS2024-50
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, indoor sensing technology utilizing Channel State Information (CSI) in IEEE 802.11bf has attracted significant attention. This study aims to develop a human fall detection (HFD) system using CSI, focusing on reducing data collection costs and improving environmental adaptability. By incorporating transfer learning and leveraging pre-trained networks, we propose a method capable of adapting to various environments. Experimental results demonstrate that the proposed approach improves fall detection accuracy compared to conventional models while significantly reducing the burden of data collection. The findings of this study hold promise for practical applications in diverse fields, such as elderly care and safety management at construction sites.
Keyword (in Japanese) (See Japanese page) 
(in English) Human Fall Detection / Wi-Fi Sensing / Channel State Information / Transfer Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 418, SIS2024-50, pp. 36-41, March 2025.
Paper # SIS2024-50 
Date of Issue 2025-02-27 (SIS) 
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 SIS2024-50

Conference Information
Committee SIS  
Conference Date 2025-03-06 - 2025-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2025-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on CSI Based Human Fall Detection System in Wi-Fi Sensing 
Sub Title (in English)  
Keyword(1) Human Fall Detection  
Keyword(2) Wi-Fi Sensing  
Keyword(3) Channel State Information  
Keyword(4) Transfer Learning  
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1st Author's Name He Kaixuan  
1st Author's Affiliation Kyushu Institute of Technology (KIT)
2nd Author's Name Yuhei Nagao  
2nd Author's Affiliation Kyushu Institute of Technology (KIT)
3rd Author's Name Masayuki Kurosaki  
3rd Author's Affiliation Kyushu Institute of Technology (KIT)
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Speaker Author-1 
Date Time 2025-03-06 13:40:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2024-50 
Volume (vol) vol.124 
Number (no) no.418 
Page pp.36-41 
#Pages 6 
Date of Issue 2025-02-27 (SIS) 

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