Journal ArticleDOI
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
TLDR
This survey explicitly explores the multidisciplinary foundation that underlies all AC applications by describing how AC researchers have incorporated psychological theories of emotion and how these theories affect research questions, methods, results, and their interpretations.Abstract:
This survey describes recent progress in the field of Affective Computing (AC), with a focus on affect detection. Although many AC researchers have traditionally attempted to remain agnostic to the different emotion theories proposed by psychologists, the affective technologies being developed are rife with theoretical assumptions that impact their effectiveness. Hence, an informed and integrated examination of emotion theories from multiple areas will need to become part of computing practice if truly effective real-world systems are to be achieved. This survey discusses theoretical perspectives that view emotions as expressions, embodiments, outcomes of cognitive appraisal, social constructs, products of neural circuitry, and psychological interpretations of basic feelings. It provides meta-analyses on existing reviews of affect detection systems that focus on traditional affect detection modalities like physiology, face, and voice, and also reviews emerging research on more novel channels such as text, body language, and complex multimodal systems. This survey explicitly explores the multidisciplinary foundation that underlies all AC applications by describing how AC researchers have incorporated psychological theories of emotion and how these theories affect research questions, methods, results, and their interpretations. In this way, models and methods can be compared, and emerging insights from various disciplines can be more expertly integrated.read more
Citations
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Journal ArticleDOI
"Cognitive, social, and physiological determinants of emotional state": Erratum
TL;DR: The problem of which cues, internal or external, permit a person to label and identify his own emotional state has been with us since the days that James first tendered his doctrine that "the bodily changes follow directly the perception of the exciting fact".
Journal ArticleDOI
Affective Computing and Sentiment Analysis
TL;DR: The emerging fields of affective computing and sentiment analysis, which leverage human-computer interaction, information retrieval, and multimodal signal processing for distilling people's sentiments from the ever-growing amount of online social data.
Journal ArticleDOI
Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks
Wei-Long Zheng,Bao-Liang Lu +1 more
TL;DR: The experiment results show that neural signatures associated with different emotions do exist and they share commonality across sessions and individuals, and the performance of deep models with shallow models is compared.
Journal ArticleDOI
Affective Body Expression Perception and Recognition: A Survey
TL;DR: The aim of this survey is to review the literature on affective body expression perception and recognition and to raise open questions on data collecting, labeling, modeling, and setting benchmarks for comparing automatic recognition systems.
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