Home // COGNITIVE 2014, The Sixth International Conference on Advanced Cognitive Technologies and Applications // View article

Recognition of Unspoken Words Using EEG Signals

Authors:
May Salama
Loa'ay ElSherif
Haytham Lashin
Tarek Gamal

Keywords: electroencephalograhic signal; unspoken speech; recognition.

Abstract:
In this paper, the use of electroencephalograhic signals in recognizing unspoken speech is investigated. The aim of the work is to recognize two words, namely, Yes and No by using a single electrode electroencephalograhic device. Yes and No were selected based on the fact that they are the basic answers of any disabled person. The single electrode device was chosen because of its ease of setup, adjustment, and light weight; hence, most suitable also for disabled. Several neural networks were trained with 7 subjects. Online and offline testing were carried out on male and female subjects in semi quiet environment. Average recognition results reached were 57% for online testing and 59% offline, whereas maximum value for offline was 68% and online 90%. The novelty of the work is using a single electrode device, as all previous work was done on multi-electrode devices.

Pages: 51 to 55

Copyright: Copyright (c) IARIA, 2014

Publication date: May 25, 2014

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-340-7

Location: Venice, Italy

Dates: from May 25, 2014 to May 29, 2014