Motivated by the particular problems involved in communicating with "locked-in" paralysed patients, we aim to develop a braincomputer interface that uses auditory stimul...
N. Jeremy Hill, Thomas Navin Lal, Karin Bierig, Ni...
Brain-Computer Interfaces (BCIs) allow a user to control a computer application by brain activity as acquired, e.g., by EEG. A standard step in a BCI system is to project the EEG ...
Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Ka...
In this paper we investigate the classification of mental tasks based on electroencephalographic (EEG) data for Brain Computer Interfaces (BCI) in two scenarios: off line and on-l...
We propose a novel method for the classification of EEG signals during motor-imagery. For motor-imagery based brain computer interface (MI-BCI), a method called common spatial pa...
— This paper is intended to compare the performance of four different types of fuzzy aggregation methods in classification of epilepsy risk levels from EEG Signal parameters. The...