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Paper Abstract and Keywords
Presentation 2024-03-19 15:10
Anomaly Detection Method of Elderly using Human Body Surface Temperature
Tasuku Hanato, Shin Morishima, Akira Urashima (TPU), Hiroshi Minematsu, Takashi Yamamoto (Shikino High-Tech Co., Ltd.), Tomoji Toriyama (TPU) WIT2023-55
Abstract (in Japanese) (See Japanese page) 
(in English) Detecting Anomalies in bedridden elderly humans is an important issue. However, it is difficult for caregivers to constantly monitor the condition of the elderly. Therefore, we propose a method of anomaly detection using human body surface temperature. We assume that there are multiple combination patterns of body surface temperature and the surrounding environment in the normal state, and consider any deviation from these patterns as an anomaly. To evaluate this method, we carried out the experiment to detect anomaly in the change of the body surface temperature during stimulating foods or alcohol intake, assuming one in the resting state were considered normal. By using difference between maximum and minimum value as the feature value, the proposed method detected anomaly with a true positive rate of 78%. The false positive rate was 9%.
Keyword (in Japanese) (See Japanese page) 
(in English) Anomaly Detection / Elderly People Care / Body Surface Temperature / Body Temperature / Population Aging / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 447, WIT2023-55, pp. 69-74, March 2024.
Paper # WIT2023-55 
Date of Issue 2024-03-11 (WIT) 
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 WIT2023-55

Conference Information
Committee WIT IPSJ-AAC  
Conference Date 2024-03-18 - 2024-03-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Tsukuba University of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Hearing / Visually impaired person support technology, etc. 
Paper Information
Registration To WIT 
Conference Code 2024-03-WIT-AAC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Anomaly Detection Method of Elderly using Human Body Surface Temperature 
Sub Title (in English)  
Keyword(1) Anomaly Detection  
Keyword(2) Elderly People Care  
Keyword(3) Body Surface Temperature  
Keyword(4) Body Temperature  
Keyword(5) Population Aging  
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Keyword(7)  
Keyword(8)  
1st Author's Name Tasuku Hanato  
1st Author's Affiliation Toyama Prefectural University (TPU)
2nd Author's Name Shin Morishima  
2nd Author's Affiliation Toyama Prefectural University (TPU)
3rd Author's Name Akira Urashima  
3rd Author's Affiliation Toyama Prefectural University (TPU)
4th Author's Name Hiroshi Minematsu  
4th Author's Affiliation Shikino High-Tech Co., Ltd. (Shikino High-Tech Co., Ltd.)
5th Author's Name Takashi Yamamoto  
5th Author's Affiliation Shikino High-Tech Co., Ltd. (Shikino High-Tech Co., Ltd.)
6th Author's Name Tomoji Toriyama  
6th Author's Affiliation Toyama Prefectural University (TPU)
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Speaker Author-1 
Date Time 2024-03-19 15:10:00 
Presentation Time 25 minutes 
Registration for WIT 
Paper # WIT2023-55 
Volume (vol) vol.123 
Number (no) no.447 
Page pp.69-74 
#Pages 6 
Date of Issue 2024-03-11 (WIT) 

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