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      Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection

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          Evidence for a three-factor theory of emotions

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            A Multimodal Database for Affect Recognition and Implicit Tagging

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              Culture and the categorization of emotions.

              Some writers assume--and others deny--that all human beings distinguish emotions from nonemotions and divide the emotions into happiness, anger, fear, and so on. A review of ethnographic and cross-cultural studies on (a) emotion lexicons, (b) the emotions inferred from facial expressions, and (c) dimensions implicit in comparative judgments of emotions indicated both similarities and differences in how the emotions are categorized in different languages and cultures. Five hypotheses are reviewed: (a) Basic categories of emotion are pancultural, subordinate categories culture specific; (b) emotional focal points are pancultural, boundaries culture specific; (c) emotion categories evolved from a single primitive category of physiological arousal; (d) most emotion categories are culture specific but can be defined by pancultural semantic primitives; and (e) an emotion category is a script with both culture-specific and pancultural components.
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                Author and article information

                Journal
                IEEE Transactions on Affective Computing
                IEEE Trans. Affective Comput.
                Institute of Electrical and Electronics Engineers (IEEE)
                1949-3045
                January 1 2016
                January 1 2016
                : 7
                : 1
                : 17-28
                Article
                10.1109/TAFFC.2015.2436926
                27295638
                ed9e111a-eb04-4237-860d-8c465920c3a0
                © 2016

                http://www.ieee.org/publications_standards/publications/rights/ieeecopyrightform.pdf

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