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In human-computer interaction researches, emotion recognition systems based on physiological signals have introduced. This study was to identify the optimal emotion recognition algorithm for classification of seven emotional states (happiness, sadness, anger, fear, disgust, surprise, and stress) using physiological signals. 12 college students participated in this experiment over 10 times. To induce...
Emotion recognition is one of the core processes to implement emotional intelligence in human-computer interaction (HCI) research. The purpose of present study was to investigate emotion-specific ANS responses and used classification algorithm to test recognizing rate when negative emotion such as fear, surprise, and stress was evoked. The results of one-way ANOVA toward each parameter, there were...
Recently, the most popular research in the field of emotion recognition on human-computer interaction is to recognize human's feeling using various physiological signals. In the psycho-physiological research, it is known that there is strong correlation between human emotion state and physiological reaction. In this study, seven kinds of emotion (happiness, sadness, anger, fear, disgust, surprise,...
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