Design of a student classroom behavior analysis system based on deep learning
Aiming at the disadvantages of the traditional classroom behavior analysis method,this paper designs a student classroom behavior analysis system based on deep learning.The pose estimation method and the object detection algorithm are used to process the video data to realize the accurate identification and behavior classification of the key points of the human body.At the same time,combined with the key point information of human body,it can judge the state of students in class,so that teachers can monitor students'behavior in real time,so as to adjust the teaching strategy and improve the teaching quality.Finally,the performance of the system is tested and verified by multiple groups of experiments,and the results show that the system has a high accuracy in analyzing students'classroom behavior.
deep learningkey points of human bodysystem design
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