Ensemble of Classifiers based on User Feedback for BCI P300 Speller

초록

P300 is one of the common methods for detecting brain activity. A brain response is relatively easy to generate. This paper proposes a method for detecting the p300 signal adaptively using the user feedback command. The user feedback of selecting or canceling the command enables the system to adjust the weight of the classifier and reflect the accuracy of the classifiers in the next phase. The experimental results show that the proposed method adaptively complements the weakness of a single classifier.