Emotion Modeling Using Fuzzy Cognitive Maps

被引：0

作者：

Akinci, Hasan Murat ^{[1
]}

Yesil, Engin ^{[1
]}

机构：

[1] Istanbul Tech Univ, Fac Elect & Elect Engn, Control & Automat Engn Dept, TR-34469 Istanbul, Turkey

来源：

14TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND INFORMATICS (CINTI) | 2013年

关键词：

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：

In this study, Fuzzy Cognitive Map (FCM) modeling technique on emotion recognition problem with regression of arousal and valence values is applied and Big Bang - Big Crunch learning method is used for developing the model. Emotions play a critical role of humans' behaviors, beliefs, motivations and decisions. Developing a model between bodily responses and emotional states of a human is an extremely challenging problem in affective computing area. In this study, DEAP dataset, which is publicly available, is used as a dataset. The set contains the recordings of physiological modalities for participant, each participant viewing video clips and reporting emotional states with using self assessment manikins. The results of various simulations show that FCM is a useful and convenient tool for emotion modeling.

引用

页码：49 / 55

页数：7

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