Design and implementation of EEG signal based brain computer interface for eye blink detection Göz Kirpmasi Tespiti İçin EEG İşaretleri Tabanli Beyin Bilgisayar Arayüzü Tasarimi ve Uygulamasi

SELVİ A. O., Ferikoǧlu A., Güzel D., Karagöz E.

2nd International Conference on Computer Science and Engineering, UBMK 2017, Antalya, Türkiye, 5 - 08 Ekim 2017, ss.544-548 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ubmk.2017.8093458
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.544-548
  • Anahtar Kelimeler: Brain Computer Interface, Data Averaging, Data Filtering, Electroencephalography, Emotiv
  • Bilecik Şeyh Edebali Üniversitesi Adresli: Evet

Özet

© 2017 IEEE.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.