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電極貼り直しに対してロバストな表面筋電位による動作識別システムの研究
https://takushoku-u.repo.nii.ac.jp/records/479
https://takushoku-u.repo.nii.ac.jp/records/47953a32e40-9bf9-4a95-8632-e3bcfd61e267
名前 / ファイル | ライセンス | アクション |
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電極貼り直しに対してロバストな表面筋電位による動作識別システムの研究 (2.2 MB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2021-04-16 | |||||
タイトル | ||||||
タイトル | 電極貼り直しに対してロバストな表面筋電位による動作識別システムの研究 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Robust Identification of Forearm Motion against Electrodes Replacement based on Surface Electromyography Signal | |||||
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 | |||||
種別 | ||||||
論文 / Full Paper | ||||||
著者 |
西川, 佳男
× 西川, 佳男× 舒, 羽× 香川, 美仁× Nishikawa , Yoshio× Jyo, U× Kagawa, Yoshihito |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | This paper describes an identification method of forearm motions from Surface Electromyography (sEMG). When sEMG is used to control an artificial arm or other device, great care must be taken to avoid improper operations. For this reason, the motions should be estimated from the sEMG without making any mistakes. It is also necessary to estimate the motion in the shortest time after the sEMG begins occurring. In this paper, we developed a motion discrimination system that combined a wavelet transform and a convolutional neural network (CNN) and determined forearm motions by CNN output. The required parameters for the system were experimentally determined. We carried out identification experiments of three motions such as "grasping", "flexing" and "turning" by sEMG, and demonstrated the accurate identification of these motions without mistakes. After that, the effects of electrode replacement and time lapse after attachment on the identification accuracy were investigated. It was exemplified that the proposed motion identification system had robustness to sEMG changes due to the above factors. | |||||
書誌情報 |
拓殖大学理工学研究報告 en : Bulletin of science and engineering, Takushoku University 巻 18, p. 21-26, 発行日 2021-03-31 |
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出版者 | ||||||
出版者 | 拓殖大学理工学総合研究所 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 09198253 | |||||
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 | |||||
日本十進分類法 | ||||||
主題Scheme | NDC | |||||
主題 | 492.16 |