Electroencephalogram as a mechanism for human communication

This paper investigates a method to evaluate the potential of electroencephalogram (EEG) as a method of human communication. Nineteen sets of simulated EEG data were compared using the set of prediction filter coefficients. This method shows that we can precisely identify similar patterns between two simulated data set of subjects who are thinking of the same thought in a given time. Our approach shows that we can find the exact frequency component from the data which we attribute to thinking the same things. This result suggest that the methods used in this simulation may be applicable in the analysis of actual EEG data when two people are trying to communicate with each other or having the same thoughts.