Design and Implementation of EEG Signal Based Brain Computer Interface for Eye Blink Detection

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info:eu-repo/semantics/closedAccess

Özet

EEG (Electroencephalography) signals are used in different fields increasingly with the development of technology because they contain a lot of important information. In recent years, a great deal of these studies has been carried out about the concrete meaning of the signals. Most of these systems are called BBA (Brain Computer Interface) systems. Various applications have been developed with BBA systems. In this paper, a graphical user interface (GUI) has been designed on Matlab for the processing of recorded signals to detect blink with the help of Emotive EPOC +, which is a portable EEG device. Channel selection, filtering and averaging operations are performed by means of this software to determine the blinks. It is thought that this software will form the basis for higher level work on the Matlab platform.

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2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEY

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Electroencephalography, Brain Computer Interface, Data Averaging, Data Filtering, Emotiv

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2017 International Conference on Computer Science and Engineering (Ubmk)

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