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Paper Abstract and Keywords
Presentation 2015-08-20 10:20
A Study of High-precision Activity Meter by Microwave Sensor Using Machine Learning
Michiyo Hiramoto, Kurato Maeno (OKI) SIP2015-58
Abstract (in Japanese) (See Japanese page) 
(in English) We have studied a high-precision activity meter without any wearable devices for the elderly who intend to stay at their house all day and to likely be sick gradually. Doppler Microwave sensor can sense from minute moments like a human breathing to body movements. We have applied machine learning technique to build a regression model which relates Doppler signals to METs (metabolic equivalents), then examined its prediction accuracy for daily activities. As a result, the accuracy was similar to an accuracy of a wearable device.
Keyword (in Japanese) (See Japanese page) 
(in English) Microwave / METs / Machine Learning / Regression / Activity Meter / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 182, SIP2015-58, pp. 41-46, Aug. 2015.
Paper # SIP2015-58 
Date of Issue 2015-08-12 (SIP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 SIP  
Conference Date 2015-08-19 - 2015-08-20 
Place (in Japanese) (See Japanese page) 
Place (in English) National Institute of informatics 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2015-08-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of High-precision Activity Meter by Microwave Sensor Using Machine Learning 
Sub Title (in English)  
Keyword(1) Microwave  
Keyword(2) METs  
Keyword(3) Machine Learning  
Keyword(4) Regression  
Keyword(5) Activity Meter  
1st Author's Name Michiyo Hiramoto  
1st Author's Affiliation Oki Electric Industry Co., Ltd. (OKI)
2nd Author's Name Kurato Maeno  
2nd Author's Affiliation Oki Electric Industry Co., Ltd. (OKI)
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Date Time 2015-08-20 10:20:00 
Presentation Time 25 
Registration for SIP 
Paper # SIP2015-58 
Volume (vol) 115 
Number (no) no.182 
Page pp.41-46 
Date of Issue 2015-08-12 (SIP) 

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