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Modeling the Mental Differentiation Task with EEG

  • Tan Vo
  • Tom Gedeon
  • Dat Tran
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7664)

Abstract

Differentiation in human beings is the act of perceiving the difference in or between objects. In other words, it is the mental process taking place to discriminate one thing from others, a common task performed by a person on a very regular basis. Making such differentiations, small or large, easy or hard, still requires a combination of cognitive processes to occur across various parts of the human brain. In this paper, an EEG-based BCI experiment was organized to study the detection of such cognitive processes. Utilizing a machine learning tool, Artificial Neural Networks, to aid in analyzing the acquired dataset, a high correct classification rate was achieved, confirming that it is possible to computationally detect these differentiation activities from EEG signals.

Keywords

BCI Artifical neural network Differencitation tasks EEG Biosignal processing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Tan Vo
    • 1
  • Tom Gedeon
    • 2
  • Dat Tran
    • 1
  1. 1.Faculty of Information Sciences and EngineeringUniversity of CanberraCanberraAustralia
  2. 2.Research School of Computer ScienceThe Australian National UniversityCanberraAustralia

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