IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

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
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 SIP2015-58

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  
Keyword(6)  
Keyword(7)  
Keyword(8)  
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)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker
Date Time 2015-08-20 10:20:00 
Presentation Time 25 
Registration for SIP 
Paper # IEICE-SIP2015-58 
Volume (vol) IEICE-115 
Number (no) no.182 
Page pp.41-46 
#Pages IEICE-6 
Date of Issue IEICE-SIP-2015-08-12 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan