Abstract
Brain-Computer Interfaces (BCIs) control a com- puter or a machine based on the information of the signal of the human brain, and the P300 speller is one of the BCI communication tools. The P300 speller discriminates a character after averaging 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. This paper proposes Reliability-Based Selective-Repeat ARQ (RB-SR-ARQ), which selectively requests a user to re-send the data based on the reliability of each data. The results show that the time required for thought discrimination can be reduced while the accuracy remains at a high level.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
