Abstract
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.
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Poli, R., Salvaris, M., Cinel, C. (2011). Evolutionary Synthesis of a Trajectory Integrator for an Analogue Brain-Computer Interface Mouse. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2011. Lecture Notes in Computer Science, vol 6624. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20525-5_22
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DOI: https://doi.org/10.1007/978-3-642-20525-5_22
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