Student Behavior Detection in the classroom based on Human-Object Interaction model
Dharmendrasinh Rathod, Amit R Thakkar · 2023
Student behavior in the classroom is an important topic in educational analysis, and it is important to better understand and measure these behaviors. The smart classroom of the future will enhance the learning experience and support seamless communication between students and teachers through real-time learning and machine learning. The use of Object detection algorithm to recognize student behavior in the classroom can improve the speed of work, accuracy of analysis and application scale, and there are some studies that will promote the development of education with science and technology. At the same time, with the development of recognition algorithms, the use of neural networks in object detection has become a trend.