计算机科学
人工智能
行动研究
人工神经网络
数学教育
心理学
作者
Jian You,Yaqi Huang,Shiqing Zhai,Yi Liu
标识
DOI:10.1109/icet55642.2022.9944414
摘要
With the rapid rise of artificial intelligence, the application of artificial intelligence in classroom teaching has become more and more extensive. Combining the related technologies of artificial intelligence with the dynamic detection of classroom behavior is a hot research topic at present. In this article, a novel recognition method of students' action in classroom is proposed. The method first uses YOLOv3 to recognize a single target in the classroom, and then, according to the proposed combination method, combines each single target into a fixed student classroom behavior. The research was carried out in eight classes (215 students in total). The research results show that the proposed research method can accurately and quickly identify students' behaviors in classroom.
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