摘要
本文提出了一种基于粗集的自动表情识别系统(RAFERS),该系统首先对人脸表情进行预处理,然后依次进行特征提取、特征选择、训练情感分类模型,并将该系统实际应用于电力知识学习系统,对电力知识学习的用户进行人脸表情的自动识别,进而为用户提供个性化的服务。
In this paper, a rough set-based automatic facial emotion recognition system （RAFERS） is proposed. For the system, it firstly pre-processes facial images which include emotions, and extracts facial emotion features, selects a feature subset from emotion features, then trains an emotion classifier, at last the system had be applied to the actual that learning of electrical knowledge. Through recognizes the emotion of facial images of the electrical knowledge users automatically, to provide users with personalized service.
出处
《微计算机信息》
2010年第2期41-43,共3页
Control & Automation
关键词
情感计算
表情识别
粗集
电力知识
affective computing
facial emotion recognition
rough set
electrical knowledge
