Before revision:  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. To accommodate the individual differences, we propose a novel unsupervised approach to align the EEG trials from different subjects in the Euclidean space to make them more consistent.
After revision:  More specifically, we consider an offline application scenario, in which we have unlabeled EEG trials from a new subject, with minimum or even no subject-specific data? Methods: We propose a novel unsupervised approach to align the EEG trials from different subjects in the Euclidean space to make them more consistent.