基于OpenCV及AI的网络学习者情绪监测系统  

Emotion Monitoring System of Online Learning Based on OpenCV and AI

作　　者：宋永生 SONG Yong-sheng

机构地区：[1]江苏工程职业技术学院

出　　处：《信息技术与信息化》2019年第11期9-12,共4页Information Technology and Informatization

基　　金：江苏省现代教育技术研究项目（2018-R-64928）;江苏省现代教育技术研究项目（2017-R-53720）;江苏省高校教育信息化研究课题（2019JSETKT014）;江苏省教育信息化研究课题（20172168）;江苏工程职业技术学院科研计划项目(GYKY/2017/5)

摘　　要：教师通常根据学生的反馈调整教学进度。网络教学中,特别是一对多教学,教师不便对学生进行察言观色。利用摄像头采集学生在网络学习时的视频,通过Python调用OpenCV及百度AI人脸识别接口对视频流进行抽帧分析,捕捉学生学习过程中情绪的变化,对班级所有学生的情绪进行统计分析,以图表的形式将情绪统计信息展示给教师。教师可以根据反馈信息及时调整教学方式及进度,改进教学,也有助于教学督导人员对网络课堂的教学质量进行有效监管。Teachers usually adjust their teaching schedule according to students'feedback.In network teaching,especially one-to-many,it is not convenient for teachers to observe students.Camera is used to collect students'videos in online learning.OpenCV and Baidu AI face recognition interface are called by Python to extract frames from the video stream,capture the changes of students'emotions in the learning process,analyze the emotions of all students in the class,and display the emotional statistics information to teachers in the form of graphs.Teachers can timely adjust teaching methods and progress according to feedback information,improve teaching,and also help teaching supervisors to effectively supervise the quality of online classroom teaching.

关 键 词：网络教学 视频 OPENCV AI 情绪 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]