Abstract
The use of physiological signals is relatively recent development in human emotion recognition. Interest in this field has been motivated by the unbiased nature of such signals, which are generated autonomously from the central nervous system. Generally, these signals can be collected from the cardiovascular system, respiratory system, electrodermal activities, muscular system and brain activities. This paper presents an overview of emotion recognition using physiological signals. The main components of a physiological signals-based emotion recognirion system are explained, including discussion regarding the concepts and problems about the various stages involved in its framework.
Highlights
Emotion is dynamic and and highly subjective
Including emotion for the enrichment of user-computer experience has become a focus in the area of Human Computer Interaction (HCI)
Emotion oriented computing is intrinsically complex as it consists of multiple components that represent different aspects of emotions
Summary
Emotion is dynamic and and highly subjective It arises spontaneously with short-lived affective states and is often accompanied by physiological changes in evoking human reactions and expressions. Emotion oriented computing is intrinsically complex as it consists of multiple components that represent different aspects of emotions. These components are cognitive appraisal, action tendencies, motor expression, physiological symptoms and subjective feelings [1] [2]. All of these components need to be interdependent and concurrent in order to evoke the emotions [3]
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