Presentation | 2021-05-28 A Basic Study on Body Center of Mass Position Estimation by Neural Network Using Inertial Sensors Toshinori Watanabe, Takashi Watanabe, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report, a method for body center of mass (CoM) position estimation using inertial sensors and an artificial neural network (ANN) was investigated. Three ANN models were designed to estimate CoM during walking of a healthy subject. Coordinate transformations of teacher CoM data were also tested. The estimation results of ANNs were in general agreement with the results of the 3D motion measurement system and it showed that it is possible to estimate CoM position using ANN. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Center of Mass / Inertial Sensor / Neural Network |
Paper # | MBE2021-3 |
Date of Issue | 2021-05-21 (MBE) |
Conference Information | |
Committee | MBE |
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Conference Date | 2021/5/28(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Takashi Watanabe(Tohoku Univ.) |
Vice Chair | Ryuhei Okuno(Setsunan Univ.) |
Secretary | Ryuhei Okuno(Akita-noken) |
Assistant | Akihiro Karashima(Tohoku Inst. of Tech.) / Jun Akazawa(Meiji Univ. of Integrative Medicine) |
Paper Information | |
Registration To | Technical Committee on ME and Bio Cybernetics |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Basic Study on Body Center of Mass Position Estimation by Neural Network Using Inertial Sensors |
Sub Title (in English) | |
Keyword(1) | Center of Mass |
Keyword(2) | Inertial Sensor |
Keyword(3) | Neural Network |
1st Author's Name | Toshinori Watanabe |
1st Author's Affiliation | Tohoku University(Tohoku Univ.) |
2nd Author's Name | Takashi Watanabe |
2nd Author's Affiliation | Tohoku University(Tohoku Univ.) |
Date | 2021-05-28 |
Paper # | MBE2021-3 |
Volume (vol) | vol.121 |
Number (no) | MBE-50 |
Page | pp.pp.6-9(MBE), |
#Pages | 4 |
Date of Issue | 2021-05-21 (MBE) |