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

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@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 =        "211--220",
  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