• DocumentCode
    3631796
  • Title

    Anticipatory brain potentials in a Brain-Robot Interface paradigm

  • Author

    Adrijan Bozinovski;Liljana Bozinovska

  • Author_Institution
    Department of Computer and Information Sciences, University American College Skopje, Macedonia
  • fYear
    2009
  • Firstpage
    451
  • Lastpage
    454
  • Abstract
    The paper describes a Brain-Robot Interface paradigm in which recognition of an anticipatory brain potential (in this case the Contingent Negative Variation - CNV) is acknowledged and reacted to by a robot arm movement. The well-known task of Towers of Hanoi is executed by a robotic arm. A measure of success is the subjects ability to generate series of CNV potentials in a CNV flip-flop paradigm which progresses towards the completion of the Towers of Hanoi task.
  • Keywords
    "Switches","Electroencephalography","Poles and towers","Flip-flops","Taxonomy","Robot control","Mobile robots","Intelligent robots","Neural engineering","Brain computer interfaces"
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2009. NER ´09. 4th International IEEE/EMBS Conference on
  • ISSN
    1948-3546
  • Print_ISBN
    978-1-4244-2072-8
  • Electronic_ISBN
    1948-3554
  • Type

    conf

  • DOI
    10.1109/NER.2009.5109330
  • Filename
    5109330