Student Eye Gaze Tracking during MOOC Teaching

被引：5
|
作者：
Yang, Fangfang [1 ]
Jiang, Zengru [1 ]
Wang, Chaojun [1 ]
Dai, Yaping [1 ]
Jia, Zhiyang [1 ]
Hirota, Kaoru [1 ]
机构：
[1] Beijing Inst Technol, Sch Automat, Beijing, Peoples R China
来源：
2018 JOINT 10TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 19TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS) | 2018年
关键词：
eye gaze tracking; iris deflection angle; face rotation angle; body tilt angle;
D O I：
10.1109/SCIS-ISIS.2018.00144
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to solve the problem that the teacher cannot monitor students e-learning status and evaluate the students e-learning effect during MOOC teaching, in this paper, we capture the student learning images by computer camera and adopt the "Three Angles Synthesis" to judge whether the student is watching the teaching video online. First locate the center of the iris by the Average Feature Point method to calculate iris deflection angle and the distance from the iris center to the eye center; and detect the face key feature points(eye,nose,mouth,etc.) by calling face key point detector in Dlib to determine the face rotation angel; then extract the student target body by Maximum Connected Domain Moment Characteristic method to calculate the student body tilt angle; last determine whether the three angles meet the giving conditions, further judge the student is watching the teaching video online or not.
引用
收藏
页码：875 / 880
页数：6
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