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Brain Computer Interfaces for Silent Speech
Date
2017-05-01
Author
TABAR, Yousef Rezaei
Halıcı, Uğur
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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.
Subject Keywords
Single-trial eeg
,
Random neural-networks
,
Bci-competition-iii;
,
Virtual keyboard
,
Classification
,
Communication
,
Movement
,
Design
,
Identification
,
Patterns
URI
https://hdl.handle.net/11511/37736
Journal
EUROPEAN REVIEW
DOI
https://doi.org/10.1017/s1062798716000569
Collections
Department of Electrical and Electronics Engineering, Article
Citation Formats
IEEE
ACM
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MLA
BibTeX
Y. R. TABAR and U. Halıcı, “Brain Computer Interfaces for Silent Speech,”
EUROPEAN REVIEW
, vol. 25, no. 2, pp. 208–230, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37736.