A study on application of RB-ARQ considering probability of occurrence and transition probability for P300 speller

Abstract

Brain-Computer Interfaces (BCIs) control a computer or a machine based on the information of the signal of human's brain. P300 speller is one of the BCI communication tools, which uses P300 as the feature quantity and allows users to select letters just by thinking. Because of the low signal-to-noise ratio of the P300, signal averaging is often performed to improve the spelling accuracy instead of the degradation of the spelling speed. In texts, there is variability in occurrence probabilities and transition probabilities between lettersDThis paper proposes P300 speller considering the occurrence probabilities and the transition probabilities as the prior probabilities in RB-ARQ. It shows that the spelling speed and then the Utility were improved by the proposed method comparing with the conventional method. © 2013 Springer-Verlag Berlin Heidelberg.