Design of motion pattern recognition system based on MPU6050 and pressure sensor

Aimed at the defects of low accuracy of motion pattern recognition and large volume of measuring equipment, a motion pattern recognition system based on MPU6050 and pressure sensor is designed, and the overall structure of the system is given. The system takes nRF2401 wireless transmission module as the node to transmit the pressure and acceleration data collected by the data acquisition system to the data processing system. After preprocessing the data, the system extracts the eigenvalues, passes them into the double classification model based on SVM, corrects the model parameters, and achieve the task of motion pattern recognition. Experiments show that the system has small volume, high accuracy, and the accuracy is as high as 92%, which is obviously superior to the model using pressure data and classification model based on SVM.