Brain-computer interface (BCI) allows users to communicate on the basis of translating neurophysiologic signals into inputs for some application such as spelling devises and a wheelchair. At the construction of BCI system, it is necessary to cogitate about how to extract features and which features we choose. In this paper, a feature extraction method for Auditory-evoked Potential based BCI systems is introduced to shorten the time for input and to reduce user's discomfortableness.
