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Paper Abstract and Keywords
Presentation 2015-01-26 09:50
Activity Recognition Using Low Resolution Infrared Array Sensor
Shota Mashiyama, Jihoon Hong, Tomoaki Ohtsuki (Keio Univ.) ASN2014-113
Abstract (in Japanese) (See Japanese page) 
(in English) Now, aging society is a worldwide problem, and the population of people aged over 60 years is growing faster than any other age group. Therefore, monitoring services for elderly people are attracting a great deal of attention. We have proposed a fall detection method using a low resolution infrared array sensor to inform an unexpected falling in our previous work. However, knowing daily fundamental activities of elderly people is also important to prevent future accidents. In this report, we propose an activity recognition method using a low resolution infrared array sensor. This sensor can detect temperature on a two dimensional area. From the viewpoint of general versatility (available in darkness), cost, size, privacy (low resolution), and availability (commercial off-the-shelf), this sensor is better than other sensing devices like video cameras, Doppler radars, acceleration sensors, and so on. In the proposed method, temperature distribution obtained from the sensor is analyzed and classified into five fundamental states: ``No event", ``Stopping", ``Walking", ``Sitting", and ``Falling" (emergency situation). As a result of experiments, our proposed method achieved recognition accuracy of 100~$%$, 94.8~$%$, 99.9~$%$, 78.6~$%$, and 100~$%$, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) Infrared Array Sensor / Activity Recognition / Privacy / Supervised Learning / Support Vector Machine / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 418, ASN2014-113, pp. 37-42, Jan. 2015.
Paper # ASN2014-113 
Date of Issue 2015-01-19 (ASN) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee MICT ASN MoNA  
Conference Date 2015-01-26 - 2015-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Nanki Shirahama 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ambient intelligence, ICT for Medical, Healthcare and Sports, etc 
Paper Information
Registration To ASN 
Conference Code 2015-01-MICT-ASN-MoNA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Activity Recognition Using Low Resolution Infrared Array Sensor 
Sub Title (in English)  
Keyword(1) Infrared Array Sensor  
Keyword(2) Activity Recognition  
Keyword(3) Privacy  
Keyword(4) Supervised Learning  
Keyword(5) Support Vector Machine  
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1st Author's Name Shota Mashiyama  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Jihoon Hong  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Tomoaki Ohtsuki  
3rd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2015-01-26 09:50:00 
Presentation Time 25 minutes 
Registration for ASN 
Paper # ASN2014-113 
Volume (vol) vol.114 
Number (no) no.418 
Page pp.37-42 
#Pages
Date of Issue 2015-01-19 (ASN) 


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