Research on the Application of High-quality Smart Classroom Education Evaluation in the Internet of Things Environment
With the rapid development of information-based teaching,classrooms that adapt to current education should have adaptive characteristics.At present,the development of smart classroom is biased towards the safety of the system,while ignoring the analytical ability of students'concentration.In order to solve this problem,this study separated students from the background in the classroom based on the Internet of Things,and set up additional cameras to track the changes of students'expressions.Based on the comprehensive scores of students'micro-expressions on the Wisdom data set,the education was evaluated through 45 minutes of class hours.The study compares this model with three traditional classroom teaching models,and the average score is 84,while the scores of the other three models are 75,72 and 68 respectively.The experimental results show that in the proposed model,students'enthusiasm in class is higher than the other three models,which is suitable for educational evaluation in the Internet of Things environment.
High-quality intelligent classroomInternet of things environmentBackground separation methodVisual trackingMicro-expression scoreEducational evaluation
国家科技期刊平台
NSTL
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