Evolutionary Synthesis of a Trajectory Integrator for an Analogue Brain-Computer Interface Mouse

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{poli:evoapps11,

• author = "Riccardo Poli and Mathew Salvaris and Caterina Cinel",
• title = "Evolutionary Synthesis of a Trajectory Integrator for an Analogue Brain-Computer Interface Mouse",
• booktitle = "Applications of Evolutionary Computing, EvoApplications 2011: {EvoCOMPLEX}, {EvoGAMES}, {EvoIASP}, {EvoINTELLIGENCE}, {EvoNUM}, {EvoSTOC}",
• year = "2011",
• month = "27-29 " # apr,
• editor = "Cecilia {Di Chio} and Stefano Cagnoni and Carlos Cotta and Marc Ebner and Aniko Ekart and Anna I Esparcia-Alcazar and Juan J. Merelo and Ferrante Neri and Mike Preuss and Hendrik Richter and Julian Togelius and Georgios N. Yannakakis",
• series = "LNCS",
• volume = "6624",
• publisher = "Springer Verlag",
• address = "Turin, Italy",
• publisher_address = "Berlin",
• pages = "214--223",
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming, Brain-Computer Interfaces, Mouse",
• isbn13 = "978-3-642-20524-8",
• URL = "http://cswww.essex.ac.uk/staff/poli/papers/PoliSalvarisCinel_EvoIASP2011_Trajectory_Integrator_BCI_Mouse.pdf",
• DOI = "doi:10.1007/978-3-642-20525-5_22",
• size = "10 pages",
• 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.",
• notes = "Part of \cite{DiChio:2011:evo_a} EvoApplications2011 held inconjunction with EuroGP'2011, EvoCOP2011 and EvoBIO2011",

}

Genetic Programming entries for Riccardo Poli Mathew Salvaris Caterina Cinel

Citations