Evidence build-up facilitates on-line adaptivity in dynamic environments: example of the BCI P300-speller
Abstract
We consider a P300 BCI application where the subjects can write figures and letters in an unsupervised fashion. We (i) show that a generic speller can attain the state-of-the-art accuracy without any training phase or calibration and (ii) present an adaptive setup that consistently increases the bit rate for most of the subjects.
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