2024
Joint Spatio-Temporal Filtering of Motion Imagery EEG Signals for Data Alignment in Transfer Learning
ICASSP 2024accepted
This paper introduces a novel joint spatio-temporal filtering algorithm and investigate its impact on data alignment in transfer learning (TL) for motion imagery (MI) tasks to deal with the variability in subjects, trials, or tasks. While spatial filtering is an integral part of the common spatial p…