Closed-loop research framework of human motion is constructed based on inertial sensors. The various parameters of different driving actions are measured by the simulated driving test bench and the wearable motion capture system of Captiv. Using classifiers and using K-nearest neighbor（ KNN） algorithm to analyze and classify the measured data

to achieve the purpose of monitoring and recognizing the driving action

thereby identifying the driver’s bad driving action and suggesting it in subsequent research. This research provides a technical method for the driving motion monitoring and feedback system based on inertial sensors

which provides ideas for the crossfusion of this technology with other technologies.