Dynamic Monitoring Algorithm of Online College Physical Education Student Behavior in Complex Background

The role of dynamic monitoring in the behavior of students in college physical education is significant, but there is a problem that the monitoring accuracy is not high. Previous statistical monitoring methods could not solve the problem of accurate monitoring in behavioral monitoring, and there were few monitoring indicators. Therefore, a dynamic monitoring method is proposed to construct a behavior monitoring model. Firstly, the big data mining theory is used to plan behavior monitoring data, and the data collection and division are carried out according to student behavior to reduce the subjective factors in monitoring. Then, the big data mining theory plans the behavior monitoring, forms a data collection of monitoring results, and continuously monitors the data. MATLAB simulation shows that the dynamic monitoring method’s evaluation accuracy and monitoring time are better than the previous statistical monitoring methods under the condition of certain monitoring data.