Recently significant steps have been made towards effective EEG-based brain-computer interfaces for mouse control. A major obstacle in this line of research, however, is the integration of the noisy and contradictory information provided at each time step by the signal processing systems into a coherent and precise trajectory for the mouse pointer. In this paper we attack this difficult problem using genetic programming, obtaining extremely promising results. © 2011 Springer-Verlag.
CITATION STYLE
Poli, R., Salvaris, M., & Cinel, C. (2011). Evolutionary synthesis of a trajectory integrator for an analogue brain-computer interface mouse. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6624 LNCS, pp. 214–223). https://doi.org/10.1007/978-3-642-20525-5_22
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