Title :
EEG based stress recognition system based on Indian classical music
Author :
Nawasalkar, Ram K. ; Deshpande, Swapnil G. ; Butey, Pradeep K. ; Thakare, V.M.
Author_Institution :
Dept. of Comput. Sci., Arts, Commun. & Sci. Coll., Amravati, India
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.
Keywords :
behavioural sciences computing; electroencephalography; emotion recognition; feature extraction; medical signal detection; multilayer perceptrons; music; neural nets; EEG based stress recognition system; EEG signal feature extraction; EEG signals; Indian classical music; Raga classifier; arousal model; emotional stress recognition; kernel density estimation; medical situation; multilayer perceptron; neural network classifier; stress perception visualization; Accuracy; Brain modeling; Electroencephalography; Feature extraction; Multilayer perceptrons; Music; Stress; Electroencephalography (EEG); Kernel Density Estimation (KDE); Multilayer Perceptron(MLP); Raga;
Conference_Titel :
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location :
Ghaziabad
DOI :
10.1109/ICACEA.2015.7164840
