摘要
当前利用计算机视觉技术检测学生注意力的方法主要是基于人眼闭合特征和头部偏转特征。当学生处于头部正视、眼睛睁开而视线在看电脑屏幕以外区域时,用以上两种特征无法检测出该类分心情况。针对该问题,提出了一种融合视线检测的注意力检测方法。通过摄像头抓取图像,分析每帧图像中学生的眼睛闭合特征、头部偏转特征以及视线特征,用以判别学生的注意力专注度。实验结果表明,融合视线的注意力检测方法准确性较高,具有一定的实用价值。
In current online education,the research methods of detecting student′s attention based on computer vision are mainly based on the characteristics of human eye closure and head deflection,however,when students face to the computer screen but look at other places,this distraction can be detected by applying neither of the characteristics mentioned above.To solve this problem,an attention detection method integrated with eye gaze detection is proposed.By capturing pictures with the camera and analyzing the characteristics of the eye closure,head deflection and line of sight in each frame,the degree of a student′s attraction can be determined.The experimental results show that the attention detection method integrated with eye gaze detection has higher accuracy in detecting student＇s attention behavior,and thus has certain practical value.
作者
熊碧辉
周后盘
黄经州
阮益权
周里程
XIONG Bi-hui;ZHOU Hou-pan;HUANG Jing-zhou;RUAN Yi-quan;ZHOU Li-cheng(Smart City Research Center,Hangzhou Dianzi University,Hangzhou 310018,China)
出处
《软件导刊》
2018年第7期31-36,共6页
Software Guide
基金
浙江省重点研发计划项目(2016C03G2200579)
关键词
在线教育
注意力检测
头部偏转检测
眼睛闭合检测
视线检测
online eclucation
attention cletection
head cleflection cletection
eye closure cletection
eye movement detection
