基于哈夫变换和神经网络的课堂场域评估实验  

Classroom Field Evaluation Experiment Based on Hough Transform and Neural Network

作　　者：周蓉[1] 王硕[1] 白逸仙 师瑞峰[1] ZHOU Rong;WANG Shuo;BAI Yixian;SHI Ruifeng(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)

机构地区：[1]华北电力大学控制与计算机工程学院,北京102206

出　　处：《实验室研究与探索》2023年第3期191-195,共5页Research and Exploration In Laboratory

基　　金：国家自然科学基金项目(61573138);北京市高等教育本科教学改革创新项目(京教函[2020]427号)。

摘　　要：学生对待课堂的态度是评价课堂教学效果的重要维度之一,学生在课堂场域中的位置客观地反映了学生对于课堂的态度。为了实现对课堂进行客观评价的目的,设计了基于哈夫变换和神经网络的课堂场域评估实验,分别采用计算机视觉课程中传统特征检测方法和现代多目标检测方法,基于课堂图像对学生课堂场域进行检测和分析。结果表明,在理解不同检测方法原理的基础上,学生通过搭建模型和调整参数等方法解决了实际问题,在实际应用场景中分析比较了传统和现代方法的优缺点,并提出了不同的场域评估指标。该实验培养了学生的工程实践能力和创新能力,实验教学效果良好。The students’attitude towards the class is one of the important dimensions in class teaching evaluation,and the students’position in the classroom field objectively reflects the students’subjective attitude towards the class.In order to evaluate the class teaching quality objectively,a classroom field evaluation experiment based on Hough transform and neural network is designed,traditional feature detection methods and modern multi-target detection methods in computer vision are used to detect and analyze students’classroom fields based on classroom images.The results show that on the basis of understanding the principles of different detection methods,the students solve practical problems by building models and adjusting parameters,analyze and compare the advantages and disadvantages of traditional and modern methods in practical application scenarios,and propose different field evaluation indicators.This experimental case wins the first prize of the 6 th National Computer Course Experimental Teaching Case Design Competition,which cultivates students’engineering practice ability and innovation ability,and the experimental teaching effect is good.

关 键 词：课堂场域评估 哈夫变换 神经网络 实验教学 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]