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Brain Computer Interfaces for Silent Speech

Published online by Cambridge University Press:  22 December 2016

Yousef Rezaei Tabar  and
Ugur Halici
Yousef Rezaei Tabar
Affiliation:
Biomedical Engineering, Middle East Technical University, Ankara, Turkey. E-mail: rezaeetabar@gmail.com
Ugur Halici
Affiliation:
Biomedical Engineering, Neuroscience and Neurotechnology, Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey. E-mail: halici@metu.edu.tr
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Abstract

Brain Computer Interface (BCI) systems provide control of external devices by using only brain activity. In recent years, there has been a great interest in developing BCI systems for different applications. These systems are capable of solving daily life problems for both healthy and disabled people. One of the most important applications of BCI is to provide communication for disabled people that are totally paralysed. In this paper, different parts of a BCI system and different methods used in each part are reviewed. Neuroimaging devices, with an emphasis on EEG (electroencephalography), are presented and brain activities as well as signal processing methods used in EEG-based BCIs are explained in detail. Current methods and paradigms in BCI based speech communication are considered.

Type
In Honour of Erol Gelenbe
Information
European Review , Volume 25 , Issue 2 , May 2017 , pp. 208 - 230
Copyright
© Academia Europaea 2016 

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