A note on brain actuated spelling with the Berlin Brain-Computer Interface
Benjamin Blankertz, Matthias Krauledat, Guido Dornhege, John Williamson, Roderick Murray-Smith and Klaus-Robert Müller
Universal Access in HCI, Part II, HCII 2007, LNCS Springer.
Brain-Computer Interfaces (BCIs) are systems capable of decoding
neural activity in real time, thereby allowing a computer application to be di
rectly controlled by the brain. Since the characteristics of such direct brain-to-computer interaction are limited in several aspects, one major challenge in BCI
research is intelligent front-end design. Here we present the mental text entry
application ‘Hex-o-Spell’ which incorporates principles of Human-Computer In-
teraction research into BCI feedback design. The system utilises the high visual
display bandwidth to help compensate for the extremely limited control band-width which operates with only two mental states, where the timing of the state
changes encodes most of the information. The display is visually appealing, and
control is robust. The effectiveness and robustness of the interface was demonstrated at the CeBIT 2006 (world’s largest IT fair) where two subjects operated
the mental text entry system at a speed of up to 7.6 char/min.