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 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) |
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ASN2014-113 |
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) |
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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 |
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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 |
6 |
Date of Issue |
2015-01-19 (ASN) |
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