Research Article

A Novel Adaptive Mutation PSO Optimized SVM Algorithm for sEMG-Based Gesture Recognition

Table 1

Physiological explanation of characteristics.

FeaturesPhysiological explanation

RMSRMS mainly reflects the type of motor units and the degree of synchronization during muscle activity
MAVMAV is well matched with the change of muscle tension and also reflects the change of muscle contraction
IAVIAV is the characteristic after all the amplitude of the signal is converted into the positive value; it is the most intuitive response of muscle contraction force; the larger the IAV is, the greater the muscle contraction force is
WLWL can reveal the change of amplitude, frequency, and duration of EMG waveform
AREMG spectrum changes with the change of muscle contraction state, which will cause the change of AR model coefficient; by monitoring the AR model coefficient, the muscle contraction state can be estimated