Decoding Attentional Orientation from EEG Spectra

  • Authors:
  • Ramesh Srinivasan;Samuel Thorpe;Siyi Deng;Tom Lappas;Michael D'Zmura

  • Affiliations:
  • Department of Cognitive Sciences, UC Irvine, SSPA 3151, Irvine CA 92697-5100;Department of Cognitive Sciences, UC Irvine, SSPA 3151, Irvine CA 92697-5100;Department of Cognitive Sciences, UC Irvine, SSPA 3151, Irvine CA 92697-5100;Department of Cognitive Sciences, UC Irvine, SSPA 3151, Irvine CA 92697-5100;Department of Cognitive Sciences, UC Irvine, SSPA 3151, Irvine CA 92697-5100

  • Venue:
  • Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends
  • Year:
  • 2009

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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.