Abstract：Through the acquisition of two channels of surface electromyogram signals( SEMG) on flexor carpi radialis and brachioradialis with a virtual instrument,the mean absolute value( MAV) and root-mean-square( RMS) are taken as feature parameters,and the linear discriminant analysis( LDA) method is applied to the pattern recognition of collected samples. The experiments compared with other identification methods show that the proposed recognition method can successfully identify four kinds of motions such as hand grasping,hand opening,radial flexion and ulnar flexion,and the recognition accuracy is much higher.

Keyword：surface electromyogram signnals;linear discriminant analysis;pattern identification;virtual instrument;