Real-time Analysis System for Students'Learning States Based on AI
This study aims to enhance the level of intelligent monitoring of students'learning states through the use of artificial intelligence technology.By utilizing wristbands worn by students,classroom cam-eras,and display software used by teachers,this research utilizes the Hikvision POE suite to read and pro-cess video streams,extract facial features of students,and analyze their learning states through estimation of their body postures.Algorithmic experiments were conducted using the camera's image information,and the results demonstrated that this method can intelligently monitor students'actions during class.Based on the monitoring results,reminders and other means can be employed to help improve students'learning efficiency.This system not only contributes to the monitoring of students'learning states but also provides an effective solution for improving the utilization of shared resources such as classrooms,study rooms,and training rooms.Through intelligent monitoring,teachers and students can better utilize available resources and enhance learn-ing effectiveness.
learning state monitoringfacial monitoringartificial intelligence
万方数据
维普
