Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances
نویسندگان
چکیده
This paper addresses the problem of signal responses variability within a single subject in P300 speller Brain-Computer Interfaces. We propose here a method to cope with these variabilities by considering a single learner for each acquisition session. Each learner consists of a channel selection procedure and a classifier. Our algorithm has been benchmarked with the data and the results of the BCI 2003 competition dataset and we clearly show that our approach yields to state-of-the art results.
منابع مشابه
GeoSpell: an alternative P300-based speller interface towards no eye gaze required
The speller based on the N by N matrix is the most commonly used approach for text writing in a P300-based Brain Computer Interface. This study presents an alternative P300 speller interface, GeoSpell (Geometric Speller), where stimuli are delivered in a covert attention modality and thus not require eye gaze control. Moreover, the GeoSpell interface allows to avoid the problem of the adjacent ...
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