Abstract
Speller is an important application in brain-computer interface researching. In this study, we developed a novel motor imagery based braincomputer interface speller which integrates a 2-D cursor control strategy into a hex-o-spell paradigm to spell a character in two-step. The experimental results (five subjects participated) showed that the average spelling speed is 14.64 characters per minute and that its average information transfer rate is 73.96 bits per minute. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Xia, B., Yang, J., Cheng, C., & Xie, H. (2013). A motor imagery based brain-computer interface speller. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7903 LNCS, pp. 413–421). https://doi.org/10.1007/978-3-642-38682-4_44
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