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Paper Abstract and Keywords
Presentation 2017-01-19 14:00
Doppler Analysis Based Fall Detection Using Array Antenna
Yugo Agata, Tomoaki Ohtsuki, Kentaroh Toyoda (Keio University) ASN2016-72
Abstract (in Japanese) (See Japanese page) 
(in English) Nowadays, the number of elderly people who live alone is increasing in Japan. So, there are urgent needs for monitoring their activities to detect accidents indoor.There are systems that use camera or wearable sensors. However, they have disadvantages such as the privacy invasion and the physical burden.To overcome these issues, we have proposed a monitoring system using array antenna, which can detect the change of radio wave propagation caused by human body motions. By extracting features that indicate the changes of radio wave propagation, our conventional method can detect activities including falling after standing with high accuracy. However, when we detect falling after walking, the fall detection accuracy deteriorates.Also, when tracking time series activities, we decide the activity only if it continues more than multiple times. In this case, it is need to set threshold for each activity by experiments. In this report, to improve the fall detection accuracy even after walking, we propose new features obtained by analyzing Doppler signals observed with array antenna. Furthermore, we propose a method of tracking time series activities based on the class assignment probability by a classifier to eliminate the need of setting thresholds. Our experiments demonstrate that the proposed features and the method of tracking time series activities improves the fall detection accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Fall Detection / Array Antenna / Doppler Analysis / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 407, ASN2016-72, pp. 19-24, Jan. 2017.
Paper # ASN2016-72 
Date of Issue 2017-01-12 (ASN) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 MoNA MICT  
Conference Date 2017-01-19 - 2017-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To ASN 
Conference Code 2017-01-ASN-MoNA-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Doppler Analysis Based Fall Detection Using Array Antenna 
Sub Title (in English)  
Keyword(1) Fall Detection  
Keyword(2) Array Antenna  
Keyword(3) Doppler Analysis  
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1st Author's Name Yugo Agata  
1st Author's Affiliation Keio University (Keio University)
2nd Author's Name Tomoaki Ohtsuki  
2nd Author's Affiliation Keio University (Keio University)
3rd Author's Name Kentaroh Toyoda  
3rd Author's Affiliation Keio University (Keio University)
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Speaker Author-1 
Date Time 2017-01-19 14:00:00 
Presentation Time 25 minutes 
Registration for ASN 
Paper # ASN2016-72 
Volume (vol) vol.116 
Number (no) no.407 
Page pp.19-24 
#Pages
Date of Issue 2017-01-12 (ASN) 


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