@techreport{oai:ipsj.ixsq.nii.ac.jp:00037612,
 author = {平岩, 明 and 内田, 典佳 and 曾根原, 登 and 下原, 勝憲 and Hiraiwa, Akira and Uchida, Noriyoshi and Sonehara, Noboru and Shimohara, Katsunori},
 issue = {31(1992-HI-042)},
 month = {May},
 note = {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., 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.},
 title = {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－},
 year = {1992}
}