Before revision:  So, a major challenge in developing high-performance and user-friendly BCIs is to cope with such individual differences so that the calibration can be reduced or even completely eliminated. This paper focuses on the latter. More specifically, we consider an offline application scenario, in which we have unlabeled EEG trials from a new subject, and would like to accurately label them by leveraging auxiliary labeled EEG trials from other subjects in the same task.
After revision:  So, a major challenge in developing high-performance and user-friendly BCIs is to cope with such individual differences so that better learning performance can be obtained for a new subject, and would like to accurately label them by leveraging auxiliary labeled EEG trials from other subjects in the same task.