BCI: Classifiers Optimization for EEG Signals Acquiring in Real-Time

摘要

The topic of this article is for the development of the new high-performance BCI systems, and in this regard we have integrated optimization algorithms in basic BCI system at the level of the classification algorithms to improve the performance of the system recognition as illustrates the section of results. The optimizes were also programmed to work collectively in order to reach the maximum value of accuracy in a short period of time. This position can also be extended to include improving the system rest, algorithms of the selection features, algorithms of frequency and spatial filters, algorithms of the best electrodes selection.