A pilot study for improving the graphical user interface of P300 based BCIs
Résumé
The graphical user interface of a BCI is an important element for user and particularly for disabled persons who need to use the BCI for a long time. While most of the effort in the last years has been dedicated to the improvement of the detection of the P300 by using advanced machine learning algorithm, many improvements are still possible for the graphical user interface. We propose to add a feedback on each cell of the P300 speller that indicates what is the current flash for spelling a character. This strategy allows knowing the current flash at any moment and if it is possible to switch to the next character.
Origine : Fichiers produits par l'(les) auteur(s)
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