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k-NN法を用いた表面筋電位による指動作識別
http://hdl.handle.net/10458/839
http://hdl.handle.net/10458/839db0c9c9f-72a4-4c27-880f-20372e64acbf
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
KJ00004682869.pdf (1.1 MB)
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| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2007-10-30 | |||||
| タイトル | ||||||
| タイトル | k-NN法を用いた表面筋電位による指動作識別 | |||||
| 言語 | ja | |||||
| タイトル | ||||||
| タイトル | Finger Motion Recognition from Surface-EMG using k-NN method | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | departmental bulletin paper | |||||
| その他（別言語等）のタイトル | ||||||
| その他のタイトル | k-NN ホウ オ モチイタ ヒョウメンキン デンイ ニヨル ユビ ドウサ シキベツ | |||||
| 言語 | ja-Kana | |||||
| 著者 |
中村, 智史
× 中村, 智史× 奥村, 大× 淡野, 公一× 田村, 宏樹× 外山, 貴子× Nakamura, Satoshi× 奥村, 大 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Human's motion by the muscle's contraction conforms to the signal(The signal is given from the brain). Electric signal generated by muscle operation is called Electromyogram(EMG). The one observed on the body surface is called Surface EMG(S-EMG). In this paper, we propose a finger motion recognition system from surface-EMG using k-NN method. First, we tested on computer simulations of the method of finger motion recognition from the S-EMG. So far, the authors used only Nearest Neighbor method. However, the Authors did not a experiment on other recognition methods. We compare k-NN method performance with Nearest Neighbor method and Multilayer Perceptron and tested on several computer simulations. The results obtained from the computer simulation show the effectiveness of k-NN method (Recognition rate 90.0%). Next, we propose k-NN method with on-line adjustment technique and test own system by two subjects. The proposed system is online adjustment method. This adjustment method adjusts proposed system side at the same time as training by experimental subject The usefulness of the system is confirmed by comparing temporal change in recognition rate that k-NN method with on-line adjustment technique and original k-NN method. From the experiment results, k-NN method with on-line adjustment technique is more appropriate than original k-NN method. |
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| 言語 | en | |||||
| 書誌情報 |
ja : 宮崎大学工学部紀要 en : Memoirs of Faculty of Engineering, University of Miyazaki 巻 36, p. 73-80, 発行日 2007-08-30 |
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| 出版者 | ||||||
| 出版者 | 宮崎大学工学部 | |||||
| 言語 | ja | |||||
| 出版者 | ||||||
| 出版者 | Faculty of Engineering, University of Miyazaki | |||||
| 言語 | en | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 05404924 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA00732558 | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
