Art
J-GLOBAL ID:201502205240794943   Reference number:15A0791174

A Probabilistic Neural Network with Anomaly Detection and Related Application to an EMG-controlled Prosthetic Hand

未学習クラス推定ニューラルネットの提案と筋電義手制御への応用
Author (6):
Material:
Volume: 33  Issue:Page: 275-284 (J-STAGE)  Publication year: 2015 
JST Material Number: Y0482A  ISSN: 0289-1824  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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JST classification (1):
JST classification
Category name(code) classified by JST.
Prosthesis(=artificial substitutes for body part) 
Reference (20):
  • [1] 辻敏夫,重吉宏樹,福田修,金子真:“EMG信号に基づく前腕動力義手のバイオミメティック制御”,日本機械学会論文集C,vol.66, no.648, pp.2764–2771, 2000.
  • [2] O. Fukuda, T. Tsuji and A. Otsuka: “A Human-Assisting Manipulator Teleoperated by EMG Signals and Arm Motions,” IEEE Transactions on Robotics and Automation, vol.19, no.2, pp.163–168, 2003.
  • [3] S.C. Jacobson, D.F. Knutti, R.T. Johnson and H.H. Sears: “Development of the Utah Artificial Arm,” IEEE Transaction on Biomedical Engineering, vol.29, no.4, pp.249–269, 1982.
  • [4] F.H.Y. Chan, Y.-S. Yang, F.K. Lam, Y.-T. Zhang and P.A. Parker: “Fuzzy EMG classification for prosthesis control,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.8, no.3, pp.305–311, 2000.
  • [5] 吉川雅博,三河正彦,田中和世:“筋電位を利用したサポートベクターマシンによる手のリアルタイム動作識別”,電子情報通信学会論文誌,vol.J92-D, no.1, pp.93–103, 2009.
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