• 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