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This paper considers two dimensional valence-arousal model. Pictorial stimuli of International Affective Picture Systems were chosen for emotion elicitation. Physiological signals like, Galvanic Skin Response, Heart Rate, Respiration Rate and Skin Temperature were measured for accessing emotional responses. The experimental procedure uses non-invasive(More)
Emotion Recognition always has been one of the key areas in human machine interaction, machine learning or affective computing. Two dimensional valence arousal model has been used here. In this paper, we present how simple emotion recognition can be done by measuring nine basic non-invasive Biological markers or physiological signals including BR(More)
Emotions and affect are universal means of expressing the physiological state of an individual. Most of our daily interactions with other individuals involve emotions as an integral part. It has become highly prominent in technological research, as new technologies related to human-machine interaction or medical applications are developed. Detecting and(More)
Emotion recognition or affect detection from speech is an old and challenging problem in the field of artificial intelligence. Many significant research works have been done on emotion recognition. In this paper, the recent works on affect detection using speech and different issues related to affect detection has been presented. The primary challenges of(More)
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