Search Results for author:
Found 2 papers, 1 papers with code
A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface
Recent advancements in magnetoencephalography (MEG)-based brain-computer interfaces (BCIs) have shown great potential.
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface
Furthermore, using two publicly available BCI-related EEG datasets, the proposed method was extensively compared with the state-of-the-art single-classifier based passive scheme, single-classifier based active scheme and ensemble based passive schemes.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
