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- W2214134199 abstract "This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed.This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed." @default.
- W2214134199 created "2016-06-24" @default.
- W2214134199 creator A5084965893 @default.
- W2214134199 creator A5088308891 @default.
- W2214134199 date "2015-12-16" @default.
- W2214134199 modified "2023-10-16" @default.
- W2214134199 title "A Survey on Human Emotion Recognition Approaches, Databases and Applications" @default.
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- W2214134199 doi "https://doi.org/10.5565/rev/elcvia.795" @default.
- W2214134199 hasPublicationYear "2015" @default.
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