Towards a morse code-based non-invasive thought-to-speech converter

Nicoletta Nicolaou, Julius Georgiou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents our investigations towards a non-invasive custom-built thought-to-speech converter that decodes mental tasks into morse code, text and then speech. The proposed system is aimed primarily at people who have lost their ability to communicate via conventional means. The investigations presented here are part of our greater search for an appropriate set of features, classifiers and mental tasks that would maximise classification accuracy in such a system. Here Autoregressive (AR) coefficients and Power Spectral Density (PSD) features have been classified using a Support Vector Machine (SVM). The classification accuracy was higher with AR features compared to PSD. In addition, the use of an SVM to classify the AR coefficients increased the classification rate by up to 16.3% compared to that reported in different work, where other classifiers were used. It was also observed that the combination of mental tasks for which highest classification was obtained varied from subject to subject; hence the mental tasks to be used should be carefully chosen to match each subject.

Original languageEnglish
Title of host publicationBiomedical Engineering Systems and Technologies - International Joint Conference, BIOSTEC 2008, Revised Selected Papers
Pages123-135
Number of pages13
DOIs
Publication statusPublished - 1 Dec 2008
Externally publishedYes
Event1st International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2008 - Funchal, Madeira, Portugal
Duration: 28 Jan 200831 Jan 2008

Publication series

NameCommunications in Computer and Information Science
Volume25 CCIS
ISSN (Print)1865-0929

Conference

Conference1st International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2008
CountryPortugal
CityFunchal, Madeira
Period28/01/0831/01/08

Keywords

  • Brain-Computer Interface
  • Electroencephalogram
  • Morse Code
  • Speech Impairment
  • Thought Communication

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  • Cite this

    Nicolaou, N., & Georgiou, J. (2008). Towards a morse code-based non-invasive thought-to-speech converter. In Biomedical Engineering Systems and Technologies - International Joint Conference, BIOSTEC 2008, Revised Selected Papers (pp. 123-135). (Communications in Computer and Information Science; Vol. 25 CCIS). https://doi.org/10.1007/978-3-540-92219-3_9