The present invention relates to a user-independent brain-computer interface (BCI) providing system and a method thereof. The method is executed by a BCI system for providing a user-independent BCI. The method includes the steps of: (a) obtaining brain signals through one or more paradigms from multiple users and using the obtained brain signals to extract the characteristic pattern information of brain signals of each user and storing reference characteristic information including the same in a BCI database; (b) obtaining idle period brain signals of a new user during a preset resting time when the approach of the new user is sensed and extracting the characteristic pattern information from the idle period brain signals to compute target characteristic information; (c) comparing the reference characteristic information stored in the BCI interface with the target characteristic information in order to select the characteristic pattern information of the brain signals having a characteristic pattern most similar to the characteristic pattern information of the target characteristic information in the reference characteristic information; and (d) applying pre-transition learning information formed in advance to correspond to the characteristic pattern information of the selected brain signals to the new user. The pre-transition learning information includes the brain wave characteristic information including the average, covariance, and deviation of brain waves as well as spectral power for each frequency band and classifier information for classifying the brain wave pattern.
- SYSTEM FOR PROVIDING SUBJECT-INDEPENDENT BRAIN-COMPUTER INTERFACE AND METHOD THEREOF