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Paper Abstract and Keywords
Presentation 2017-03-13 14:00
Comparison of regression models on a multi-dimensional output estimation problem of a bio-medical four degrees of freedom force and displacement sensor
Chisato Murakami, Yasuaki Kaneda (TIRI), Makoto Takahashi (Hokkai Gakuen Univ.) MBE2016-87
Abstract (in Japanese) (See Japanese page) 
(in English) Commercial force sensors are used for a risk judgment of pressure injuries. Measurement data of the sensors bring information about a magnitude and a direction of normal and two orthogonal shear forces, respectively. We have been developing a novel capacitance type force and displacement sensor that enables simultaneous measurement of a torque around the vertical axis as well as normal and shear forces on the skin surface. However, the developed sensor has a problem with a difficulty of a multi-dimensional output estimation due to effects of nonlinear input output characteristics. In this study, we have developed two displacement estimation methods using polynomial and support vector regressions in that kind of nonlinear sensor and made the comparison between estimation errors by the two methods. Averaged full scale errors were 0.016% and 0.088% in the estimation methods by polynomial and support vector regressions, respectively. It was confirmed that the estimation method by polynomial regression was a better technique from the view of the estimation error.
Keyword (in Japanese) (See Japanese page) 
(in English) capacitive sensor / displacement measurement / parameter estimation / polynomial regression / support vector regression / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 520, MBE2016-87, pp. 27-32, March 2017.
Paper # MBE2016-87 
Date of Issue 2017-03-06 (MBE) 
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 MBE NC  
Conference Date 2017-03-13 - 2017-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2017-03-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Comparison of regression models on a multi-dimensional output estimation problem of a bio-medical four degrees of freedom force and displacement sensor 
Sub Title (in English)  
Keyword(1) capacitive sensor  
Keyword(2) displacement measurement  
Keyword(3) parameter estimation  
Keyword(4) polynomial regression  
Keyword(5) support vector regression  
1st Author's Name Chisato Murakami  
1st Author's Affiliation Tokyo Metropolitan Industrial Technology Research Institute (TIRI)
2nd Author's Name Yasuaki Kaneda  
2nd Author's Affiliation Tokyo Metropolitan Industrial Technology Research Institute (TIRI)
3rd Author's Name Makoto Takahashi  
3rd Author's Affiliation Hokkai Gakuen University (Hokkai Gakuen Univ.)
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Date Time 2017-03-13 14:00:00 
Presentation Time 25 
Registration for MBE 
Paper # IEICE-MBE2016-87 
Volume (vol) IEICE-116 
Number (no) no.520 
Page pp.27-32 
#Pages IEICE-6 
Date of Issue IEICE-MBE-2017-03-06 

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