string: A trivial one-directional LDA (1DLDA) feature extraction approach applies the vector-variate LDA on vectorized multichannel EEG samples; whereas matrix-variate LDA methods [8, 9, 10, 11, 12] utilize the inherent matrix-variate structure of the data to facilitate the estimation of within-class and between-class scatter matrices.