Facial Emotion Recognition Using Fuzzy Systems

被引：9
|
作者：
Nicolai, Austin [1 ]
Choi, Anthony [1 ]
机构：
[1] Mercer Univ, Elect & Comp Engn, Macon, GA 31207 USA
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS | 2015年
关键词：
Fuzzy system; Emotion recognition; JAFFE; Feature extraction;
D O I：
10.1109/SMC.2015.387
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a fuzzy logic based emotion recognition system. The system is comprised of an image processing stage followed by an emotion recognition stage. In the image processing stage, the subject's face and facial features (eyes, mouth, etc.) are extracted. Next, the relevant identifying points are extracted from each facial feature. In the emotion recognition stage, the identifying points are used to fuzzify and determine the strength of different facial actions. These strengths are then used to determine the subject's displayed emotion. The Japanese Female Facial Expression database was used to evaluate the system's performance resulting in an overall successful detection rate of 78.8%.
引用
收藏
页码：2216 / 2221
页数：6
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