ITexLi, 2023. — 131 p. — ISBN 1837685789 9781837685783 1837685770 9781837685776 1837685797 9781837685790.
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). This book provides a comprehensive overview of the different techniques used in emotion recognition and discusses recent developments, perspectives, and applications in the field.
Perspective on Dark-Skinned Emotion Recognition Using Deep-Learned and Handcrafted Feature Techniques
Emotion Detection Using Speech Analysis and Deep Learning
Application of Machine and Deep Learning Techniques to Facial Emotion Recognition in Infants
Facial Emotion Recognition Feature Extraction: A Survey
Emotional Intelligence of Korean Students and Its Recent Research Trends
Emotion Recognition – Recent Advances and Applications in Consumer Behavior and Food Sciences with an Emphasis on Facial Expressions
Feature Extraction for Emotion Recognition: A Review