PRACTICAL AND MEANINGFUL FEEDBACK METHOD FOR TRAINING USERS OF MOTOR IMAGERY BASED BRAIN-COMPUTER INTERFACES

摘要

In a brain-computer interface (BCI), human factors are frequently overlooked and not considered for the implementation of the system. One of the most relevant parts of a BCI is the feedback method due to its influence in the psychophysiological state of the user. Unfortunately, current BCI feedback methods are boring, only corrective, and not meaningful. We, therefore, propose to develop a meaningful feedback method by reproducing the imaginary movements used as control task. For that purpose, two easily implemented electro-mechanical hands were implemented to give coherence between the control tasks and the feedback. The feedback system was tested using EEG signals recorded from three participants who attended a no-feedback training session. The best performance was achieved by P3 (77.5%), followed by P1 (72.5%) and P2 (67.5%). What follows is the implementation of the online version of this system, and an interesting question to be answered is the sensory way to cue the control tasks.