| Presentation | 2018-01-27 Evaluation of Generalization Performance of Finger Motion Classifier with input of surface EMG signal of hand intrinsic muscles Junki Sato, Ayumu Tsuboi, Hirota Mamoru, Masayuki Yokoyama, Masao Yanagisawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The hand and finger motions are achieved by the cooperative action of the forearm which includes extrinsic muscles, and the fingers which include intrinsic muscles. More precise recognition is possible by using surface electromyography(sEMG) of the intrinsic muscle in delicate finger motion analysis. We aimed to realize the development of a new user interface based on EMG information of the fingers, and we developed a wearable glove type device using dry electrodes. In the assumption of usage as interface, it is inconvenient to recalibrate for each user. Thus, it will be necessary to select features which enable the classifier to accurately recognize unknown user's myoelectric signal and to select classifier according to the amount. With this device, we measured the myoelectric signal of eleven subjects during the tapping operation, and examined the recognition of tapping motion using six features and multilayer perceptron between different subjects. The result was the 92.0% accuracy at 1kHz sampling frequency and 89.8% at 100Hz. It suggested the high generalization performance and usefulness as an EMG based interface. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | EMG / hand / finger / intrinsic muscles / gesture recognition / interface |
| Paper # | MBE2017-78 |
| Date of Issue | 2018-01-19 (MBE) |
| Conference Information | |
| Committee | MBE / NC / NLP |
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| Conference Date | 2018/1/26(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME, generalImplementation of Neuro Computing,Analysis and Modeling of Human Science, |
| Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) / Masaharu Adachi(Tokyo Denki Univ.) |
| Vice Chair | Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.) / Norikazu Takahashi(Okayama Univ.) |
| Secretary | Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.) / Norikazu Takahashi(Tokyo Inst. of Tech.) |
| Assistant | Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) / Toshihiro Tachibana(Shonan Inst. of Tech.) / Masayuki Kimura(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing / Technical Committee on Nonlinear Problems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of Generalization Performance of Finger Motion Classifier with input of surface EMG signal of hand intrinsic muscles |
| Sub Title (in English) | |
| Keyword(1) | EMG |
| Keyword(2) | hand |
| Keyword(3) | finger |
| Keyword(4) | intrinsic muscles |
| Keyword(5) | gesture recognition |
| Keyword(6) | interface |
| 1st Author's Name | Junki Sato |
| 1st Author's Affiliation | Waseda University(Waseda Univ.) |
| 2nd Author's Name | Ayumu Tsuboi |
| 2nd Author's Affiliation | Waseda University(Waseda Univ.) |
| 3rd Author's Name | Hirota Mamoru |
| 3rd Author's Affiliation | Waseda University(Waseda Univ.) |
| 4th Author's Name | Masayuki Yokoyama |
| 4th Author's Affiliation | Waseda University(Waseda Univ.) |
| 5th Author's Name | Masao Yanagisawa |
| 5th Author's Affiliation | Waseda University(Waseda Univ.) |
| Date | 2018-01-27 |
| Paper # | MBE2017-78 |
| Volume (vol) | vol.117 |
| Number (no) | MBE-416 |
| Page | pp.pp.65-70(MBE), |
| #Pages | 6 |
| Date of Issue | 2018-01-19 (MBE) |