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Paper Abstract and Keywords
Presentation 2012-07-19 10:40
Falling Detection Using Multiple Doppler Sensors
Shoichiro Tomii, Tomoaki Ohtsuki (Keio Univ.) USN2012-17
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, activity recognition using Doppler sensor has been actively developed. Doppler sensor can sense human activity utilizing Doppler shift, which is the difference between the transmit frequency and received frequency. It is a palm-sized device and enables human sensing without wearable sensors. Thus, it is suitable for falling detection of the elderly. However, Doppler sensor is less sensitive to the movements orthogonal to the irradiation direction. In this report, we propose falling detecton using multiple Doppler sensors that enables detection of the multi-directional falling.
Keyword (in Japanese) (See Japanese page) 
(in English) falling detection / Doppler sensor / multiple sensors / cepstrum analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 133, USN2012-17, pp. 1-6, July 2012.
Paper # USN2012-17 
Date of Issue 2012-07-12 (USN) 
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)
Download PDF USN2012-17

Conference Information
Committee RCS NS USN  
Conference Date 2012-07-19 - 2012-07-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Iwate Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Fixed/Wireless Network, Hand Over, Relay, Distributed MIMO, Mobile Ad-hoc Network, Ubiquitous Sensor Network, etc. 
Paper Information
Registration To USN 
Conference Code 2012-07-RCS-NS-USN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Falling Detection Using Multiple Doppler Sensors 
Sub Title (in English)  
Keyword(1) falling detection  
Keyword(2) Doppler sensor  
Keyword(3) multiple sensors  
Keyword(4) cepstrum analysis  
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1st Author's Name Shoichiro Tomii  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Tomoaki Ohtsuki  
2nd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2012-07-19 10:40:00 
Presentation Time 25 minutes 
Registration for USN 
Paper # USN2012-17 
Volume (vol) vol.112 
Number (no) no.133 
Page pp.1-6 
#Pages 6 
Date of Issue 2012-07-12 (USN) 

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