PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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. Volume 4555, pp. 759-768, 2007.

Abstract

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.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:User Modelling for Computer Human Interaction
Brain Computer Interfaces
ID Code:3303
Deposited By:Benjamin Blankertz
Deposited On:07 February 2008