Single trial BCI classification accuracy improvement for the novel virtual sound movement-based spatial auditory paradigm

This paper presents a successful attempt to improve single trial P300 response classification results in a novel moving sound spatial auditory BCI paradigm. We present a novel paradigm, together with a linear support vector machine classifier application, which allows a boost in single trial based spelling accuracy in comparison with classic stepwise linear discriminant analysis methods. The results of the offline classification of the P300 responses of seven subjects support the proposed concept, with a classification improvement of up to 80%, leading, in the best case presented, to an information transfer rate boost of 28.8 bit/min.