计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 196-203.doi: 10.11896/jsjkx.191100203
钟马驰, 张俊朗, 蓝扬波, 何月铧
ZHONG Ma-chi, ZHANG Jun-lang, LAN Yang-bo, HE Yue-hua
摘要: 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。
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