Abstract
Emotion and stress plays a significant role in day to day life. Stress arise many complicated medical situation. The aim of this study is to create a new fusion of EEG signals for emotional stress recognition and North Indian Classical Music. In this paper, proposed a method which extracts the EEG signals with the help of scalp of the brain in responding to various stimuli, and recognize the basic emotion like Happy, anger, sad and fear. The EEG signal feature is extracted by using the method of Kernel Density Estimation and emotions can be recognized by using the Multilayer Perceptron. This method visualizes the stress perception during the listening of Raga and neural network classifiers obtained an accuracy of emotion on the flow of valence of arousal model.
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