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| 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 |
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| 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 | |
| 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 | MBE2016-87 |
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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 |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 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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| Speaker | Author-1 |
| Date Time | 2017-03-13 14:00:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2016-87 |
| Volume (vol) | vol.116 |
| Number (no) | no.520 |
| Page | pp.27-32 |
| #Pages | 6 |
| Date of Issue | 2017-03-06 (MBE) |
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