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Paper Abstract and Keywords
Presentation 2019-01-29 11:15
Anomaly Detection in Toilet with FMCW Radar
Wataru Takabatake, Kohei Yamamoto, Kentaroh Toyoda, Tomoaki Ohtsuki (Keio Univ.), Yohei Shibata, Atsushi Nagate ASN2018-90
Abstract (in Japanese) (See Japanese page) 
(in English) With the increase in the population of elderly, elderly monitoring techniques are receiving more and more attention all over the world. In particular, it is highly demanded to develop the system that detects accidents in a toilet, since such accidents are likely to get worse due to late detection. In this report, we propose an FMCW(Frequency Modulated Continuous Wave) radar-based anomaly detection method in toilet. In the proposed method, we detect the fainted subject based on the distance between the subject and the FMCW radar estimated by the received FMCW signal. If the subject faints, the estimated distance is constant. However, even when the subject is sitting still, the estimated distance is constant. To address this problem, in the proposed method, the time during which the subject is still (anomaly candidates) is estimated by the time when the calculated distance does not change. We extract features from the estimated distance and the maximum peak value of $f_{mathrm{FFT}}$, the spectrum obtained by applying the FFT to the received signal of the FMCW radar during about 1 s $sim$ 3 s before when the subject is still. Finally, we use machine learning to classify anomaly candidates into whether a faint or a non-faint. In the experiments, we observed 4 fainting behaviors: (i) stooping on the seat, (ii) leaning on the backrest, (iii) leaning on the sidewall on the seat, and (iv) lying on the floor after the fall. Also we observed the following normal behaviors such as sitting still after the button operation and sitting down. We conducted the experiments with 10 people. As a result, we confirmed that our proposed method detected the fainting behaviors with the F-measure of 0.91.
Keyword (in Japanese) (See Japanese page) 
(in English) FMCW radar / Anomaly detection / Toilet / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 428, ASN2018-90, pp. 65-70, Jan. 2019.
Paper # ASN2018-90 
Date of Issue 2019-01-21 (ASN) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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Conference Information
Committee ASN  
Conference Date 2019-01-28 - 2019-01-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyuukamura Ibusuki 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ambient intelligence, Sensor networks, Poster session, etc. 
Paper Information
Registration To ASN 
Conference Code 2019-01-ASN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Anomaly Detection in Toilet with FMCW Radar 
Sub Title (in English)  
Keyword(1) FMCW radar  
Keyword(2) Anomaly detection  
Keyword(3) Toilet  
1st Author's Name Wataru Takabatake  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Kohei Yamamoto  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Kentaroh Toyoda  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name Tomoaki Ohtsuki  
4th Author's Affiliation Keio University (Keio Univ.)
5th Author's Name Yohei Shibata  
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6th Author's Name Atsushi Nagate  
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Date Time 2019-01-29 11:15:00 
Presentation Time 25 
Registration for ASN 
Paper # IEICE-ASN2018-90 
Volume (vol) IEICE-118 
Number (no) no.428 
Page pp.65-70 
#Pages IEICE-6 
Date of Issue IEICE-ASN-2019-01-21 

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