EMG prosthetic hand controller discriminating ten motions using real-time learning method

We discuss the necessity of a learning mechanism for an EMG prosthetic hand controller, and the real-time learning method is proposed and designed. This method divides the controller into three units. The analysis unit extracts useful informations for discriminating motions from the EMG. The adaptation unit learns the relation between EMG and control command and adapts operator's characteristics. The trainer unit makes the adaptation unit learn in real-time. Experiments show that the proposed controller discriminates ten forearm motions, which contain four wrist motions and six hand motions, and learns within 4/spl sim/25 minutes. The average of the discriminating rate is 91.5%.

[1]  Toshio Tsuji,et al.  An EMG controlled robotic manipulator using neural networks , 1997, Proceedings 6th IEEE International Workshop on Robot and Human Communication. RO-MAN'97 SENDAI.

[2]  R.N. Scott,et al.  A new strategy for multifunction myoelectric control , 1993, IEEE Transactions on Biomedical Engineering.

[3]  K. Englehart,et al.  Classification of the myoelectric signal using time-frequency based representations. , 1999, Medical engineering & physics.

[4]  Bruce C. Wheeler,et al.  EMG feature evaluation for movement control of upper extremity prostheses , 1995 .

[5]  Peter J. Kyberd,et al.  MARCUS: a two degree of freedom hand prosthesis with hierarchical grip control , 1995 .

[6]  R. N. Scott,et al.  Myoelectric signal characteristics from muscles in residual upper limbs , 1994 .

[7]  Hideto Ide,et al.  Control of a Robot Arm by Myoelectric Potential , 1993, J. Robotics Mechatronics.

[8]  Ian D. Walker,et al.  Myoelectric teleoperation of a complex robotic hand , 1996, IEEE Trans. Robotics Autom..

[9]  Wenwei Yu,et al.  EMG prosthetic hand controller using real-time learning method , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[10]  Katsutoshi Kuribayashi,et al.  A discrimination system using neural network for EMG-controlled prostheses-Integral type of EMG signal processing , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).