Design And Application Of Real-time Classroom Learning Situation Analysis System Based On Face Recognition Technology

With the rapid development of computer technology,multimedia technology,network technology and intelligent technology,Not only has a huge impact on the way people studying,living and working.At the same time,it also leads to the reform of school teaching mode,teaching method,learning method and teaching environment.There are many researches on the analysis of College Students' learning situation.The real-time analysis system of College Students' learning situation is mainly for the analysis of College Students' learning status and learning behavior,which can provide the basis and means for college teachers to effectively manage the classroom.Based on face recognition technology,this thesis takes the behavior of students in the theoretical classroom as the research object.The behavior analysis algorithm and expression recognition algorithm are used to analyze the behavior of college students in the course of class.Therefore,the thesis puts forward to judge students' listening behavior from macroscopic and microscopic aspects.On the basis of this research,this thesis designs and implements a system that uses mobile terminal equipment to record students' class video in real time and analyze it.This system uses mobile terminal equipment to record videos of college students themselves,and specifically analyzes the sitting posture,mental state,concentration,interactivity and enthusiasm of college students in class.Based on the systematic analysis results,we can evaluate the quality and effect of teachers' classroom teaching,assist teaching and research,and ultimately effectively improve students' classroom learning efficiency and teaching quality.The development of this system uses the concept of SOA,and the system is mainly divided into APP end and background management end development.The APP end uses Android for development,and the background management end uses Java language for development.At the same time,the system through the application of Spring Boot and My Batis mainstream development framework,to ensure the security and efficiency of the system.In the application of image recognition and analysis,the system uses the functional components of Adaboost target detection algorithm based on Haar feature in Open CV to define the characteristic values from both macro and micro aspects to compare and judge students' classroom behaviors.In terms of database,the APP database usesSQLite which makes full use of its characteristics of low occupation of resources and fast access speed to improve the speed and efficiency of system access,while the background management database uses MYSQL.