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

fYear

2015

fDate

19-20 March 2015

Firstpage

936

Lastpage

939

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in

Conference_Location

Ghaziabad

Type

conf

DOI

10.1109/ICACEA.2015.7164840

Filename

7164840