FACIAL EMOTION RECOGNITION IN MODERN DISTANT EDUCATION SYSTEM USING SVM

摘要：

Network and multimedia is the trend of the development of the modern education technology. The space- time separation of the modern distance education leads to the affection deficiency of the learners. In order to estimate the affective state of the learners in the modern distant education system, the model of distance education system based on affective computing is proposed and realized which took both facial features as input data. A real time facial expression recognition based on support vector machine ( SVM ) algorithm is also applied in the system. After test of the algorithm in the experiment, 100 facial images of 15 learners are randomly selected from database including six basic emotions and neutral as a training set. 265 facial images of 42 persons are used as testing set The total recognition rate is 84.55％.

关键词： Facial emotion recognition SVM Emotion recognition module Modern distant education system

作者: JIAN-MING SUN XUE-SHENG PEI SHI-SHENG ZHOU

作者单位: Xian University of Technology, Xian, China Henan University of Science and Technology, Luoyang, Ch Henan University of Science and Technology, Luoyang, China Xian University of Technology, Xian, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 3545-3548

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）