Brain-Computer Interfaces (BCI)

Brain Computer Interfaces (BCI) allow disabled persons to control devices with their thoughts. One of the most important aspects in BCI research is the application of Machine Learning techniques for classifying EEG data. Achieving good classification rates involves an adequate preprocessing of EEG raw data. In this project, we plan to address the EEG classification problem and the related issue of optimizing EEG filters by means of multiobjective evolutionary computation methods.