title: P300-based BCI mouse with genetically-optimized analogue control.
abstract: In this paper we propose a brain-computer interface (BCI) mouse based on P300 waves in electroencephalogram (EEG) signals. The system is analogue in that at no point a binary decision is made as to whether or not a P300 was actually produced in response to the stimuli. Instead, the 2-D motion of the pointer on the screen, using a novel BCI paradigm, is controlled by directly combining the amplitudes of the output produced by a filter in the presence of different stimuli. This filter and the features to be combined within it are optimised by an evolutionary algorithm.
authors.affiliation: IMT Institute for Advanced Studies, 55100 Lucca, Italy. lciti@essex.ac.uk
authors.forename: Luca
authors.initials: L
authors.lastname: Citi
authors.forename: Riccardo
authors.initials: R
authors.lastname: Poli
authors.forename: Caterina
authors.initials: C
authors.lastname: Cinel
authors.forename: Francisco
authors.initials: F
authors.lastname: Sepulveda
mesh_terms: D000328:Adult; D000465:Algorithms; D001921:Brain / Q000502:physiology*; D003196:Computer Graphics; D004566:Electrodes; D004569:Electroencephalography; D018913:Event-Related Potentials, P300 / Q000235:genetics* / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D011597:Psychomotor Performance / Q000502:physiology; D014584:User-Computer Interface