Toward EEG Sensing of Imagined Speech

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

DOI: 10.1007/978-3-642-02574-7_5

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

Abstract

Might EEG measured while one imagines words or sentences provide enough information for one to identify what is being thought? Analysis of EEG data from an experiment in which two syllables are spoken in imagination in one of three rhythms shows that information is present in EEG alpha, beta and theta bands. Envelopes are used to compute filters matched to a particular experimental condition; the filters’ action on data from a particular trial lets one determine the experimental condition used for that trial with appreciably greater-than-chance performance. Informative spectral features within bands lead us to current work with EEG spectrograms.

Keywords

EEG imagined speech covert speech classification 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

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

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