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.
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Xia, B., Yang, J., Cheng, C., Xie, H. (2013). A Motor Imagery Based Brain-Computer Interface Speller. In: Rojas, I., Joya, G., Cabestany, J. (eds) Advances in Computational Intelligence. IWANN 2013. Lecture Notes in Computer Science, vol 7903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38682-4_44
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DOI: https://doi.org/10.1007/978-3-642-38682-4_44
Publisher Name: Springer, Berlin, Heidelberg
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