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Paper Abstract and Keywords
Presentation 2025-06-05 13:20
[Poster Presentation] Abnormality Detection Method for Private Restroom Users using Wi-Fi CSI
Kenta Yazu, Atsuo Ozaki (Osaka Inst. of Tech.) SANE2025-18
Abstract (in Japanese) (See Japanese page) 
(in English) With the progression of population aging, there is a growing need for early detection of abnormal conditions in private toilet rooms. This study evaluates an anomaly detection system that utilizes Channel State Information (CSI) obtained from existing Wi-Fi infrastructure to classify user postures in such environments. The evaluation involved seven posture states (three abnormal and four normal), and classification was performed using Random Forest based on data collected from three participants. As a result, we confirmed the effectiveness of the CSI-based anomaly detection system in toilet environments, as well as the challenge posed by individual differences in classification accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Toilet / Wi-Fi / Abnormality Detection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 57, SANE2025-18, pp. 68-70, June 2025.
Paper # SANE2025-18 
Date of Issue 2025-05-29 (SANE) 
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 SANE2025-18

Conference Information
Committee SANE  
Conference Date 2025-06-05 - 2025-06-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Information Technology R & D Center, MITSUBISHI Electric Corp. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Satellite technology, Space Science, Radar, EW and generals 
Paper Information
Registration To SANE 
Conference Code 2025-06-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Abnormality Detection Method for Private Restroom Users using Wi-Fi CSI 
Sub Title (in English)  
Keyword(1) Toilet  
Keyword(2) Wi-Fi  
Keyword(3) Abnormality Detection  
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1st Author's Name Kenta Yazu  
1st Author's Affiliation Osaka Institute of Technology (Osaka Inst. of Tech.)
2nd Author's Name Atsuo Ozaki  
2nd Author's Affiliation Osaka Institute of Technology (Osaka Inst. of Tech.)
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Speaker Author-1 
Date Time 2025-06-05 13:20:00 
Presentation Time 70 minutes 
Registration for SANE 
Paper # SANE2025-18 
Volume (vol) vol.125 
Number (no) no.57 
Page pp.68-70 
#Pages 3 
Date of Issue 2025-05-29 (SANE) 

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