摘要
随着智慧校园建设工作的推进,如何合理地利用信息技术来提高课堂教学质量成为教育工作者们重点关注的问题.文章设计一种基于YOLO算法的学生课堂关注度分析系统,能够有效地检测图像及视频中学生的课堂行为,通过数据分析得出学生的课堂关注度,并以网页形式多维度展示.
With the advancement of smart campus construction,how to rationally use information technology to improve the quality of classroom teaching has become the focus of attention for educators.This paper designs a classroom attention analysis system based on YOLO algorithm.The system can effectively detects student behavior in classroom from the images and videos.Through data analysis,student classroom attention can be obtained and displayed in web pages.
作者
黄伟铠
张登辉(指导)
HUANG Weikai;ZHANG Denghui(Information Science and Technology School of Zhejiang Shuren University,Hangzhou,Zhejiang,310015,China)
出处
《浙江树人大学学报（自然科学版）》
2019年第3期1-4,17,共5页
Journal of Zhejiang Shuren University(Acta Scientiarum Naturalium)
基金
浙江省自然科学基金项目(LY16F020021)
2018年度浙江省大学生创新创业训练计划项目(201811842009).
