Deep Neural Network for EEG Signal-Based Subject-Independent Imaginary Mental Task Classification.

The performance and comparison analysis with the related existing works validated that the proposed cross-subject classification framework outperforms the state-of-the-art algorithm in terms of performing an accurate mental task from EEG signals.