Evaluation for Optimal HUD Location on a Train Using EEG

Abstract

This paper suggested a new evaluation method for optimal HUD position through a correlation based on between biological signal as and statistical analysis which using (Electroencephalogram, EEG) and ANOVA. This experiment was conducted two kinds of method to evaluate the optimal HUD position. At first, visual stimulus suggested from six different positions(the top and the bottom of the left, the top and the bottom of the center and the top and the bottom of the right on the screen) in laboratory and an object image was shown for 30 seconds in a screen which has 235 X 197 cm2 size. And second, HUD image was configured from three different positions and an object image was shown for 30 seconds in a screen. EEG, which used α-wave and β -wave for evaluate an emotional stability, were measured from Fp1, Fp2, F7 and F8 channel based on ten to twenty electrode system. From the result in laboratory, F7 β-wave was shown statistically significant to significance probability of 0.006 and between α-wave and β-wave were showed a negative correlation(r=-0.190).Also, Both the top of left and the bottom of center were showed lower β-wave than the bottom of right. From the result in railway simulator, Fp1 β-wave was appeared statistically significant as significance probability of 0.033 and it was showed lower β-wave than center. The outcome of this study will be helpful about evaluation of optimal HUD position through correlation between alpha wave and beta wave.