DocumentCode
3678170
Title
Inherent features extraction for different colors stimulation of EEG signal
Author
Muhammad Masud Rana;Monira Islam;Debarati Nath;Shabnam Wahed;Protik Chandra Biswas;Mohiuddin Ahmad
Author_Institution
Department of Electrical and Electronic Engineering, Khulna University of Engineering &
fYear
2015
fDate
5/1/2015 12:00:00 AM
Firstpage
1
Lastpage
6
Abstract
Inherent features of Electroencephalogram (EEG) signal acts a vital role to determine the human brain condition. The motivation of this paper is to extract the inherent features of EEG signal by visual stimulation of different colors such as green, red, blue, yellow. For stimulation Microsoft PowerPoint slide of different colors are shown to the subjects. Inherent features are extracted using statistical analysis, Fast Fourier Transform (FFT) and Power Spectral Density (PSD). In statistical measure, mean and maximum value of EEG signal indicate the largest dispersion and they so they are chosen as the prominent features for detection of different colors according to the stimulation of the brain signal. From the FFT and PSD analysis, the maximum frequency and power can be detected for specific color. So the focus of this study is to identify different colors according to the features of stimulated brain signal. In this analysis, human brain is more stimulated for green color than the other colors.
Keywords
"Silicon","Color","TV","Electroencephalography","Transforms","Standards"
Publisher
ieee
Conference_Titel
Electrical Engineering and Information Communication Technology (ICEEICT), 2015 International Conference on
Type
conf
DOI
10.1109/ICEEICT.2015.7307392
Filename
7307392
Link To Document