Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
The Brain-Computer Interfaces (BCIs) control a computer or machine based on the information of human's brain, and the P300 speller is one of the BCI communication tools. The P300 speller discriminates a character after averaging the plural EEG data to improve the accuracy. Whereas reliability-based automatic repeat request (RB-ARQ) is an error control method designed for BCIs, which makes a user keep thinking until a given reliability is satisfied and can improve the accuracy of BCI with a small loss of the discrimination speed. And, this paper proposes RB-Selective Repeat ARQ (RB-SR-ARQ) which selectively requests a user to re-send the data based on the reliability of each data. This paper applies RB-SR-ARQ to the P300 speller, and then it shows that the time required for thought discrimination is able to be reduced while same accuracy is preserved.
