Anticipation based Brain-Computer Interfacing (aBCI)

Abstract—Anticipation increases the efficiency of daily tasks by partial advance activation of neural substrates involved in it. Previous off-line studies have shown the possibility of exploiting this activation for a Brain-Computer Interface (BCI) using electroencephalogram (EEG). In the current paper we report real-time and single trial recognition of this activation using a prototype of anticipation based BCI (aBCI). We report on-line classification accuracies with peak values of 85% and 80%, and with average values of 69.0±7.9% and 58.5±14.1% for subjects 1 and 2, respectively. Posterior off-line analysis showed improved accuracies for both subjects, with an average of 80.5±10.1% and 69.0 ± 10.5% with peak values of 95% and 85% respectively.

Published in:
Proceedings of the 4th International IEEE EMBS Conference on Neural Engineering
Presented at:
4th International IEEE/EMBS Conference on Neural Engineering, Antalya, TURKEY, Apr 29-May 02, 2009

 Record created 2009-06-04, last modified 2019-08-12

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