| Presentation | 2017-03-13 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, Makoto Takahashi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | capacitive sensor / displacement measurement / parameter estimation / polynomial regression / support vector regression |
| Paper # | MBE2016-87 |
| Date of Issue | 2017-03-06 (MBE) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2017/3/13(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yutaka Fukuoka(Kogakuin Univ.) / Shigeo Sato(Tohoku Univ.) |
| Vice Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) |
| Secretary | Kazuki Nakajima(Kogakuin Univ.) / Masafumi Hagiwara(Toyama Pref. Univ.) |
| Assistant | Ryota Horie(Shibaura Inst. of Tech.) / Kim Juhyon(Univ. of Toyama) / Hisanao Akima(Tohoku Univ.) / Yoshihisa Shinozawa(Keio Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| 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.) |
| Date | 2017-03-13 |
| Paper # | MBE2016-87 |
| Volume (vol) | vol.116 |
| Number (no) | MBE-520 |
| Page | pp.pp.27-32(MBE), |
| #Pages | 6 |
| Date of Issue | 2017-03-06 (MBE) |