基于计算机视觉的数学课堂教学互动方法  

Interactive Method of Mathematics Classroom Teaching Based on Computer Vision

作　　者：宋静怡 SONG Jingyi(Putian University,Putian,Fujian 351100,China)

机构地区：[1]莆田学院,福建莆田351100

出　　处：《移动信息》2025年第3期132-134,共3页Mobile Information

摘　　要：文中探讨了基于计算机视觉技术的数学课堂教学互动方法,重点分析了行为识别与情感分析对课堂互动的影响。通过使用高清摄像头和高性能计算单元实时捕捉学生的手势和表情,结合OpenCV和TensorFlow进行图像处理和模型训练,实现了课堂行为识别和情感分析。实验结果显示,该方法的行为识别与情感分析准确率接近100%,处理延迟低于100 ms,确保了课堂反馈的实时性。This paper discusses the interactive method of mathematics classroom teaching based on computer vision technology,focusing on analyzing the impact of behavior recognition and sentiment analysis on classroom interaction.By using high definition cameras and high-performance computing units to capture students'gestures and expressions in real time,combined with OpenCV and TensorFlow for image processing and model training,classroom behavior recognition and sentiment analysis are realized.Experimental results show that the accuracy of behavior recognition and sentiment analysis of this method is close to 100%,and the processing delay is less than 100 ms,ensuring the efficiency of real-time feedback in the classroom.

关 键 词：计算机视觉 数学课堂 教学互动方法 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]