Data acquisition and feature analysis based on sEMG

In this paper, the sEMG signal of human lower limb movement intention obtained by acquisition technology is taken as the research object, the collected sEMG signal data is sorted out, and then the data is extracted, and finally the movement mode analysis based on sEMG signal is completed. The specific research contents are as follows: first, choose a reasonable movement mode, according to its movement characteristics, reasonable division of leg movement cycle. Secondly, according to the structure of the sensor, the appropriate wearing position is selected. The feature extraction and analysis of sEMG signal are carried out combined with sensor device. Finally, the collected sEMG signal data is sorted out, and combined with experience, the feature analysis based on sEMG signal is completed.