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ユーザ適応型筋電マニピュレーション技術 －Cyberfinger : DataGroveの次にくるもの－
https://ipsj.ixsq.nii.ac.jp/records/37612
https://ipsj.ixsq.nii.ac.jp/records/37612f9ffc720-34a2-4763-acf7-50835cccfd8c
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-HI92042015.pdf (1.2 MB)
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Copyright (c) 1992 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | SIG Technical Reports(1) | |||||||
|---|---|---|---|---|---|---|---|---|
| 公開日 | 1992-05-11 | |||||||
| タイトル | ||||||||
| タイトル | ユーザ適応型筋電マニピュレーション技術 －Cyberfinger : DataGroveの次にくるもの－ | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Manipulator Control by User Adaptive EMG Pattern Recognition | |||||||
| 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_18gh | |||||||
| 資源タイプ | technical report | |||||||
| 著者所属 | ||||||||
| NTTヒューマンインタフェース研究所 | ||||||||
| 著者所属 | ||||||||
| NTTヒューマンインタフェース研究所 | ||||||||
| 著者所属 | ||||||||
| NTTヒューマンインタフェース研究所 | ||||||||
| 著者所属 | ||||||||
| NTTヒューマンインタフェース研究所 | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| NTT Human Interface Laboratories | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| NTT Human Interface Laboratories | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| NTT Human Interface Laboratories | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| NTT Human Interface Laboratories | ||||||||
| 著者名 |
平岩, 明
内田, 典佳
曾根原, 登
下原, 勝憲
× 平岩, 明 内田, 典佳 曾根原, 登 下原, 勝憲
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| 著者名(英) |
Hiraiwa, Akira
Uchida, Noriyoshi
Sonehara, Noboru
Shimohara, Katsunori
× Hiraiwa, Akira Uchida, Noriyoshi Sonehara, Noboru Shimohara, Katsunori
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | The cybernetic interface through which users can communicate with computers "as we may think" is the dream of human-computer interactions. Aiming at interfaces where machines adapt themselves to users' intention instead of users' adaptation to machines we have been applying neural networks to realize electromyographic (EMG)-controlled prosthetic members-a historical heritage of the cybernetics. This paper proposes that EMG patterns can be analyzed and classified by neural networks. Through experiments and simulations it is demonstrated that recognition of not only finger movement and torque but also joint angles in dynamic finger movement based on EMG patterns can be successfully accomplished. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | The cybernetic interface through which users can communicate with computers "as we may think" is the dream of human-computer interactions. Aiming at interfaces where machines adapt themselves to users' intention instead of users' adaptation to machines, we have been applying neural networks to realize electromyographic (EMG)-controlled prosthetic members-a historical heritage of the cybernetics. This paper proposes that EMG patterns can be analyzed and classified by neural networks. Through experiments and simulations, it is demonstrated that recognition of not only finger movement and torque but also joint angles in dynamic finger movement, based on EMG patterns, can be successfully accomplished. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AA1221543X | |||||||
| 書誌情報 |
情報処理学会研究報告ヒューマンコンピュータインタラクション（HCI） 巻 1992, 号 31(1992-HI-042), p. 97-104, 発行日 1992-05-11 |
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| Notice | ||||||||
| SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
