A Classroom Concentration Model Based on Computer Vision

摘要：

　　With the development of computer vision technology,automatic classroom behavior analysis has attracted more and more attention and the estimation of students'head pose is the most essential one of them.This paper proposed a classroom concentration model based on the head pose and position information collected by convolution neural networks.On the self-built dataset,the accuracy of the head pose classification model is 94.6%.In the real scene test,the results of our method are consistent with the manual analysis of the corresponding teaching videos.It means that the method can efficiently reflect real students'concentration situation during class and help teachers and experts carry out teaching analysis and rethink.

关键词： Head pose estimation Concentration model Real classroom environment

作者: Bo Jiang Wei Xu Chunlin Guo Wenqi Liu Wenqing Cheng

作者单位: School of Electronic Information and Communications Huazhong University of Science and Technology Wu Department of Parasitology School of Basic Medicine Tongji Medical College Huazhong University of Sc

会议类型: 国际会议

会议名称: 2019国图灵大会(ACM Turing Celebration conference-China 2019 )

会议地点: 成都

会议语种:英文

页码: 123-128

在线出版日期: 2019-05-17（万方平台首次上网日期，不代表论文的发表时间）