Decoding Attentional Orientation from EEG Spectra

  • Ramesh Srinivasan
  • Samuel Thorpe
  • Siyi Deng
  • Tom Lappas
  • Michael D’Zmura
Conference paper

DOI: 10.1007/978-3-642-02574-7_20

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5610)
Cite this paper as:
Srinivasan R., Thorpe S., Deng S., Lappas T., D’Zmura M. (2009) Decoding Attentional Orientation from EEG Spectra. In: Jacko J.A. (eds) Human-Computer Interaction. New Trends. HCI 2009. Lecture Notes in Computer Science, vol 5610. Springer, Berlin, Heidelberg

Abstract

We have carried out preliminary experiments to determine if EEG spectra can be used to decode the attentional orientation of an observer in three-dimensional space. Our task cued the subject to direct attention to speech in one location and ignore simultaneous speech originating from another location. We found that during the period where the subject directs attention to one location in anticipation of the speech signal, EEG spectral features can be used to predict the orientation of attention. We propose to refine this method by training subjects using feedback to improve classification performance.

Keywords

EEG attention orienting classification 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ramesh Srinivasan
    • 1
  • Samuel Thorpe
    • 1
  • Siyi Deng
    • 1
  • Tom Lappas
    • 1
  • Michael D’Zmura
    • 1
  1. 1.Department of Cognitive SciencesUC Irvine, SSPA 3151IrvineUSA

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