Artificial Lower Limb with Myoelectrical Control Based on Support Vector Machine

For the optional control to artificial lower limb and natural gait, a artificial limb model with myoelectrical control was presented, and the recognition method based on support vector machine was discused. The electromyography signal after pretreating and wavelet packet analyzing was stored in company with the motion of lower limb. Then support vector machine was used to build a model and found the relationship between electromyography signal and motion of leg. Finally, continuous angles of knee joint were used to control artificial limb device. Simulation results show that electromyography signal and angles of knee joint have strong relationship, and this algorithm obtains preferable forecast result.