From Signals to Emotions: Applying Emotion Models to HM Affective Interactions
نویسندگان
چکیده
منابع مشابه
Descriptive Models of Emotion - Learning Useful Abstractions from Physiological Responses during Affective Interactions
Supervised recognition of emotions from physiological signals has been widely accomplished to measure affective interactions. Less attention is, however, placed upon learning descriptive models to characterize physiological responses. In this work we delve on why and how to learn discriminative, complete and usable descriptive models based on physiological signals from emotion-evocative stimuli...
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Emotions play an important role in daily life of human, so the need and importance of automatic emotion recognition have grown with increasing role of Human Computer Interaction (HCI) applications. Since emotion recognition using EEG can show inner emotions, this method is more attention from other ways. In consideration to lack of emotion induction collection for doing such researches at Irani...
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Abstract Emotions play a powerful and significant role in human beings everyday life. They motivate us, impact our beliefs and decision making and would affect some cognitive processes like creativity, attention, and memory. Nowadays the use of emotion in computers is an increasingly in vogue field. In many ways emotions are one of the last and least explored frontiers of intuitive human-comput...
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