基于人脸检测和模糊综合评判的在线教育专注度研究

Study on Online Education Focus Degree Based on Face Detection and Fuzzy Comprehensive Evaluation

针对在线教育中对学生的监督手段较为匮乏的问题,基于人脸检测的模糊综合评判算法通过人脸图像检测头部的左(右)转头转角、头部抬(低)头转角、眼睛闭合度、嘴巴闭合度和面部表情,使用头部的左(右)转头转角和头部抬(低)头转角对头部姿态进行评分,在眼睛闭合度和嘴巴闭合度的检测结果的基础上对疲劳度进行评分,结合面部表情的检测结果对情绪进行评分,再根据三个评分使用模糊综合评判方法量化评判其学习专注度。该算法应用于在线教育平台的学生课堂专注度评估,有助于授课老师及时获取网络课堂中学生的课堂专注度,为改进教学计划和督促学生学习提供助力。基于此算法设计的在线教育平台的学习专注度检测系统经模拟场景使用测试,能有效地根据人脸检测结果评估学生的课堂专注度,提升了课堂质量和学生的学习效果。

Aiming at the problem of less supervised means for students in online education,the fuzzy comprehensive evaluation algorithm based on face detection detects the head’s left(right)turning angle,head lifting(low)angle,eye closure,mouth closure and facial expression through face image detection,uses the left(right)turning angle of the head and the head lifting(low)angle to score the head posture.Based on the results of eye closure and mouth closure,the fatigue score is evaluated.Combined with facial expression detection results,the emotion score is evaluated.Then the fuzzy comprehensive evaluation method is used to quantitatively judge the concentration degree of learning according to the scores of head posture,fatigue and emotion.The algorithm is applied to the evaluation of students'classroom concentration on the online education platform,helping the instructors to timely acquire the classroom concentration of the students in the online classroom,and provide assistance for improving the teaching plan and urging students to learn.The learning concentration detection system of the online education platform designed based on this algorithm is used to simulate the scene use test,which can effectively evaluate the classroom concentration of the students according to the face detection result,and improve the classroom quality and the learning effect of the students.