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     Research Journal of Applied Sciences, Engineering and Technology


Basic Information about BCI Systems

S. Noshadi and S. Es'haghi
Department of Engineering, Birjand Branch, Islamic Azad University, Birjand, Iran
Research Journal of Applied Sciences, Engineering and Technology  2013  11:3144-3151
http://dx.doi.org/10.19026/rjaset.5.4549  |  © The Author(s) 2013
Received: September 27, 2012  |  Accepted: December 06, 2012  |  Published: April 05, 2013

Abstract

Brain Computer Interface (BCI) systems establish a one way communication link between man and computer. The main goal of this technology is to provide a link between the brain and the physical world without any physical contact. Indeed these systems interlink thought to action. As the result, the user would be able to control the environment via brain signals. Electro-Encephalogram Signals (EEG) is input signals for these systems that include two main stages for processing of those signals, feature extraction and classification. Almost researches in this field are done to find what feature extracting methods and classifier are suitable. As regard spread of the existing information in this field, in this study, we first introduce a BCI system and then try to collect and organize the most needed information for processing EEG signals in BCIs. This study with having sufficient references presents the basic information for researchers who want to start their studying in this field.

Keywords:

Brain computer interface, EEG, feature extraction, physical contact,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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