Emotional Recognition from Facial Expression Analysis Using Bezier Curve Fitting

2013 16th International Conference on Network-Based Information Systems Pub Date : 2013-09-04 DOI:10.1109/NBiS.2013.39

Yong-Hwan Lee, Woori Han, Youngseop Kim

引用次数: 21

Abstract

Extracting and understanding of emotion is of high importance for the interaction among human and machine communication systems. The most expressive way to display the human's emotion is through facial expression analysis. This paper presents and implements an automatic extraction and recognition method of facial expression and emotion from still image. To evaluate the performance of the proposed algorithm, we assess the ratio of success with emotionally expressive facial image database. Experimental results shows average 66% of success to analyze and recognize the facial expression and emotion. The obtained result indicates the good performance and enough to applicable to mobile environments.

查看原文本刊更多论文

基于Bezier曲线拟合的面部表情情感识别

情感的提取和理解对于人机通信系统的交互具有重要意义。表达人类情感的最具表现力的方式是通过面部表情分析。提出并实现了一种静态图像中面部表情和情感的自动提取与识别方法。为了评估该算法的性能，我们评估了情感表达面部图像数据库的成功率。实验结果表明，分析和识别面部表情和情绪的成功率平均为66%。实验结果表明，该系统具有良好的性能，足以适用于移动环境。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2013 16th International Conference on Network-Based Information Systems

自引率

0.00%

发文量