Brain-Computer Interfaces With Machine Learning

Brain-Computer Interfaces are used for communication through brain signals, created on application of a stimulus. The usability of these systems is highly dependend on the speed and the need for calibration. The use of Machine Learning techniques is investigated to eliminate the need for calibration. Also the combination of these techniques with the stimuluspattern is investigated to speed up the system.