A Fuzzy Approach for Facial Emotion Recognition

被引：0

作者：

Farahani, Fatemeh Shahrabi ^{[1
]}

Sheikhan, Mansour ^{[2
]}

Farrokhi, Ali ^{[2
]}

机构：

[1] Islamic Azad Univ, Dept Mechatron Engn, South Tehran Branch, Tehran, Iran

[2] Islamic Azad Univ, Dept Elect Engn, South Tehran Branch, Tehran, Iran

来源：

2013 13TH IRANIAN CONFERENCE ON FUZZY SYSTEMS (IFSC) | 2013年

关键词：

fuzzy logic; face detection; eye detection; mouth detection; emotion recognition;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Emotions play a critical role in people interaction. The ability to understand human emotions by computer is desirable in several applications, especially by observing facial expressions. This paper presents a new fuzzy-based method for emotion recognition from eyes and mouth features in different ages. The method detects eyes and mouth from combination of different color spaces. Four parameters consist of eye opening, mouth opening, eye opening/width ratio and mouth width are selected for fuzzy analysis. Employing Mamdani-type implication relations, facial attributes and their mapping to emotion space are encoded. Applying the method on Ebner's facial expression database indicates 78.8% accuracy.

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页数：4

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