Volume 4 Number 6 (Aug. 2009)
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JSW 2009 Vol.4(6): 550-554 ISSN: 1796-217X
doi: 10.4304//jsw.4.6.550-554

EEG Based Brain Computer Interface

Syed M. Saddique1 and Laraib Hassan Siddiqui2
1Department of Electrical Engineering-CECOS University of IT and Emerging Sciences Peshawar, Pakistan
2Department of Electronics Engineering-NUST-School of Electrical Engineering and Computer Science Islamabad, Pakistan

Abstract—Brain-Computer Interface (BCI) has added a new value to efforts being made under human machine interfaces. It has not only introduced new dimensions in machine control but the researchers round the globe are still exploring the possible uses of such applications. BCIs have given a hope where alternative communication channels can be created for the persons having severe motor disabilities. This work is based upon utilizing the brain signals of a human being via scalp Electroencephalography (EEG) to get the control of a robot’s navigation which can be visualized as controlling one’s surrounding environment without physical strain. In this work when a person thinks of a motor activity, it gets performed. The procedure includes acquisition and analysis of brain signals via EEG equipment, development of a classification system using AI techniques and propagating the subsequent control signals to Lego-robot via parallel port. This has been depicted in [1] as a generic block diagram.


Cite: Syed M. Saddique and Laraib Hassan Siddiqui, "EEG Based Brain Computer Interface," Journal of Software vol. 4, no. 6, pp. 550-554, 2009.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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