Paper Abstract and Keywords |
Presentation |
2014-08-01 15:40
Detecting Unexpected Fall Using Array Sensor Yusuke Hino, Jihoon Hong, Tomoaki Ohtsuki (Keio Univ.) ASN2014-80 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Nowadays, the population of the elderly people is increasing in Japan. The system to protect an elderly person who is living alone is needful. The bigger part of the accident in their house is falling. There are several kinds of products to detect a person's fall. However, there are some problems that it does not have enough detection range and privacy.
Array sensor is an sensor, which detects radio wave propagation by observing the direction of arrival (DOA) of the signal.
We developed previously the fall detection using array sensor.
In the conventional fall detection method, it is needed to learn and observe the whole activity scenario, which includes how the person moves before and after the fall. As a result, when the unexpected fall scenario happens, it is not able to detect the fall correctly.
In this report, we propose a detection algorithm for unexpected fall using array sensor.
We detect fall for every fixed time, and by the results of the detection, we decide whether the activity is falling or not. By using this method, it can detect the unexpected fall scenario, which is not learned. In addition, we use new features for support vector machine (SVM) to distinguish confusing activities and improve the fall detection accuracy. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
sensor / array sensor / fall detection / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 166, ASN2014-80, pp. 213-217, July 2014. |
Paper # |
ASN2014-80 |
Date of Issue |
2014-07-23 (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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ASN2014-80 |
Conference Information |
Committee |
RCC ASN NS RCS SR |
Conference Date |
2014-07-30 - 2014-08-01 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyoto Terrsa |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Wireless Distributed Network, M2M: Machine-to-Machine, D2D: Device-to-Device, etc. |
Paper Information |
Registration To |
ASN |
Conference Code |
2014-07-RCC-ASN-NS-RCS-SR |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Detecting Unexpected Fall Using Array Sensor |
Sub Title (in English) |
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sensor |
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array sensor |
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fall detection |
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1st Author's Name |
Yusuke Hino |
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 |
2014-08-01 15:40:00 |
Presentation Time |
25 minutes |
Registration for |
ASN |
Paper # |
ASN2014-80 |
Volume (vol) |
vol.114 |
Number (no) |
no.166 |
Page |
pp.213-217 |
#Pages |
5 |
Date of Issue |
2014-07-23 (ASN) |
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