TY - GEN
T1 - A note on brain actuated spelling with the berlin brain-computer interface
AU - Blankertz, Benjamin
AU - Krauledat, Matthias
AU - Dornhege, Guido
AU - Williamson, John
AU - Murray-Smith, Roderick
AU - Müller, Klaus Robert
PY - 2007
Y1 - 2007
N2 - 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-tocomputer 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.
AB - 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-tocomputer 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.
UR - http://www.scopus.com/inward/record.url?scp=36549023606&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-73281-5_83
DO - 10.1007/978-3-540-73281-5_83
M3 - Conference contribution
AN - SCOPUS:36549023606
SN - 9783540732808
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 759
EP - 768
BT - Universal Access in Human-Computer Interaction
PB - Springer Verlag
T2 - 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007
Y2 - 22 July 2007 through 27 July 2007
ER -