A note on brain actuated spelling with the Berlin brain-computer interface

Authors:
Benjamin Blankertz;Matthias Krauledat;Guido Dornhege;John Williamson;Roderick Murray-Smith;Klaus-Robert Müller
Affiliations:
Technical University Berlin, Berlin, Germany and Fraunhofer First, Berlin, Germany;Technical University Berlin, Berlin, Germany and Fraunhofer First, Berlin, Germany;Fraunhofer First, Berlin, Germany;University of Glasgow, Glasgow, Scotland;University of Glasgow, Glasgow, Scotland and Hamilton Institute, NUI Maynooth, Ireland;Technical University Berlin, Berlin, Germany and Fraunhofer First, Berlin, Germany
Venue:
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Year:
2007

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Abstract

Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly 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 Interaction research into BCI feedback design. The system utilises the high visual display bandwidth to help compensate for the extremely limited control bandwidth 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.