An efficient word typing P300-BCI system using a modified T9 interface and random forest classifier
A Text on nine keys (T9) based efficient word typing P300-BCI system is proposed. We integrated a smart dictionary into the P300-BCI system for word suggestions. We propose a novel Random Forest (RF) classifier to improve accuracy. Words typing speed is improved by 51.87% in comparison to the conventional character speller. Accuracy of RF is significantly higher than the conventional SVM classifier.
random forest dictionary brain computer interface bci eeg p300 speller word typing paradigm humancomputer interaction