摘要
针对目前网络教学系统中对学生学习情绪与学习状态的捕捉辨识存在问题,提出在网络学习情绪辨别机制中,结合人脸表情辨别和基于半投票机制的文字语意推论辨别两种非侵入性情绪辨别方式的优点,设计了网络实时监视指导单元。实验表明,该非侵入性的情绪双元辨别机制使网络教学系统中的学习情绪辨别率得到有效提升,系统交互性明显加强,为网络教学系统中学习情绪辨别机制的设计提供方向。
To solve the problem about identification of learning state in current network teaching system,it combined the adventures of facial expression recognition and text semantic recognition based on semi-voting in learning emotional recognition mechanism,and designed a real-time monitoring guidance unit.Through experiments,it showed that in network teaching system the learning emotional recognition rate and human-computer interaction could be improved greatly by the mechanism provided a direction for the emotional recognition mechanisms of network teaching system.
出处
《微型电脑应用》
2014年第1期35-38,共4页
Microcomputer Applications
基金
湖南省高校科研项目(12C0977)
关键词
情绪双元辨别
人脸表情辨别
文字语意推论
实时监视
网络教学
Emotional Dual Recognition
Facial Expression Recognition
Text Semantic Recognition
Real-Time Monitoring
Network Teaching
