摘要
Abstract
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.关键词
高质量智慧课堂/物联网环境/背景分离法/视觉跟踪/微表情得分/教育评估Key words
High-quality intelligent classroom/Internet of things environment/Background separation method/Visual tracking/Micro-expression score/Educational evaluation分类
社会科学
