Human interface using surface electromyography signals

Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)

Volumn 79, Issue 9, 1996, Pages 15-22

  Koike, Yasuharu ^a,c,d,e   Kawato, Mitsuo ^b,d,e,f,g  

^a TOYOTA MOTOR CORPORATION   (Japan)

^b ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^c Tokyo Institute of Technology ^*

^d ATR Auditory Vis Percept Res L

^e Department 3

^f OSAKA UNIVERSITY   (Japan)

^g Japanese Society of Neuroscience

Author keywords

Electromyography; Motion learning; Neural network model; Robot control

Indexed keywords

ELECTROMYOGRAPHY; HUMAN COMPUTER INTERACTION; MATHEMATICAL MODELS; MOTION CONTROL; ROBOT LEARNING; ROBOTIC ARMS;

ROBOT CONTROL;

NEURAL NETWORKS;

EID: 0030234565     PISSN: 10420967     EISSN: None     Source Type: Journal    
DOI: 10.1002/ecjc.4430790902     Document Type: Article

References (11)

1. N. Wiener. Cybernetics (1948).
2. R. Suzuki and T. Suematsu. Pattern recognition of multichannel myoelectric signals by learning method. Japanese Journal of Medical Electronics and Biological Engineering, 7, No. 1, pp. 47-48 (1969).
3. D. Mori, T. Tsuji, and K. Ito. Motion discrimination method from EMG signals using statistically structured neural networks. Technical Report of I.E.I.C.E., NC91-143, pp. 83-90 (1992).
4. A. Hiraiwa, N. Uchida, K. Shimohara, and N. Sonehara. EMG recognition with a neural network model for cyber finger control. Transactions of the Society of Instrument and Control Engineers, 30, No. 2, pp. 216-224 (1994).
5. Y. Koike, K. Honda, M. Hirayama, H. Gomi, E-V. Bateson, and M. Kawato. Estimation of isometric torques from surface electromyography using a neural network model. I.E.I.C.E. Transactions (D-II), J76, No. 6, pp. 1270-1279 (1993).
6. Y. Koike and M. Kawato. Trajectory formation from surface EMG signals using a neural network model. I.E.I.C.E. Transactions (D-II), J77, No. 1, pp. 193-203 (1994).
7. Y. Koike and M. Kawato. Estimation of dynamic joint torques and trajectory formation from surface electromyography signals using a neural network model. Biological Cybernetics, 73, pp. 291-300 (1995).
8. Y. Koike and M. Kawato. Estimation of arm posture in 3-D space from surface EMG signals using a neural network model. I.E.I.C.E. Transactions Fundamentals, D-II, No. 4, pp. 368-375 (1994).
9. K. Akazawa, H. Takizawa, Y. Hayashi, and K. Fujii. Development of control system and myoelectric signal processor for biomimetic prosthetic hand. Biomechanism, 9, pp. 43-53 (1988).
10. G. M. Goodwin, D. I. McCloskey, and P. B. C. Matthews. Proprioceptive illusions induced by muscle vibration: Contribution by muscle spindles to perception. Science, 175, pp. 1382-1384 (1972).
11. M. Katayama and M. Kawato. Virtual trajectory and stiffness ellipse during force-trajectory control using a parallel-hierarchical neural network model. Proceedings of the Fifth International Conference on Advanced Robotics, pp. 1187-1194 (1991).