"Emotion Recognition Recent Advances, New Perspectives and Applications" ed. by Seyyed Abed Hosseini

This book provides a comprehensive overview of the different techniques used in emotion recognition and discusses recent developments, perspectives, and applications in the field.

Emotion is a complex phenomenon that varies from person to person. Different emotional states of a person can be inferred through external and internal reactions that change in different situations. Emotion recognition has become a research milestone in cognitive science, neuroscience, computer science, psychology, artificial intelligence, and other areas. Emotion recognition research uses non-physiological signals such as facial expression, speech, and body movement, as well as physiological signals and images such as electrical skin resistance (GSR), heart rate (HR), electrocardiogram (ECG), functional magnetic resonance imaging (fMRI), electroencephalogram (EEG) and magnetoencephalogram (MEG).

Contents
1. Perspective on Dark-Skinned Emotion Recognition Using Deep-Learned and Handcrafted Feature Techniques
2. Emotion Detection Using Speech Analysis and Deep Learning
3. Application of Machine and Deep Learning Techniques to Facial Emotion Recognition in Infants
4. Facial Emotion Recognition Feature Extraction: A Survey
5. Emotional Intelligence of Korean Students and Its Recent Research Trends
6. Emotion Recognition – Recent Advances and Applications in Consumer Behavior and Food Sciences with an Emphasis on Facial Expressions
7. Feature Extraction for Emotion Recognition: A Review


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