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Author/Affiliation: Rabab Kreidieh WardOpen AccessArticle
10 Pages, 677 KB 
Ensemble of Neural Network Conditional Random Fields for Self-Paced Brain Computer Interfaces
Abstract:
Classification of EEG signals in self-paced Brain Computer Interfaces (BCI) is an extremely challenging task. The main difficulty stems from the fact that start time of a control task is not defined. Therefore it is imperative to exploit the characteristics of the EEG data to the extent possible. In sensory motor self-paced BCIs, while performing…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Artificial Intelligence in Computer Science (CAI))