Recognizing student facial expressions: A web application
Recognizing student facial expressions: A web application
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识别学生面部表情：网络应用程序
DOI：
10.1109/educon.2018.8363404
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Florent Domenach
中科院分区：
文献类型：
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作者：
A. Savva;Vasso Stylianou;Kyriacos Kyriacou;Florent Domenach
在本文中描述的项目调查的想法进行情感分析的学生群体参与积极的面对面的课堂教学。机器学习算法用于安装在教室中的网络摄像头收集的现场录音。可视化应用程序需要由讲师远程访问，因此该应用程序被设计为Web应用程序。输出是在整个讲座期间和与讲座同时监测的学生情绪的时间轴，用于使讲师和其他感兴趣的各方能够改进教育的提供。
The project described in this paper investigates the idea of performing emotion analysis of a student population participating in active face-to-face classroom instruction. Machine learning algorithms are employed on live recordings collected by webcams that are installed in classrooms. The visualization application required to be remotely accessible by the lecturer so the application was engineered as a web application. The output, being a timeline of student emotions monitored throughout and in parallel with the lecture, serves to enable the lecturer and other interested parties to improve the delivery of education.