BEYİN BİLGİSAYAR ARAYÜZÜ İÇİN DVM MAKİNE ÖĞRENME YÖNTEMİ KULLANILARAK EEG VERİLERİNDEN SAĞ VE SOL EL HAREKET DÜŞÜNCELERİNİN TESPİTİ

Year 2017, Volume: 10 Issue: 3, 1 - 20, 12.09.2017

Yuriy Mıshchenko Murat Kaya , Mustafa Cömert

Abstract

 Beyin-bilgisayar arayüzleri (BBA) insan beyni ile bilgisayar arasında kurulan doğrudan iletişim yollarını oluşturur. BBA verimli protezler ve iletişim teknolojileri gibi alanlarda kullanılırken, günümüzde insanların cihazlarla doğrudan iletişim kurmasına olanak sağlamaktadır. Bu çalışmada, Destek Vektör Makineleri makine öğrenme yöntemi ve uyarlanan Epoc Emotiv portatif EEG görüntüleme cihazı kullanılarak sağ ve sol hareket düşüncelerinin tespitinden BBA uygulanmaktadır. Uygulanan BBA, tek olay bazında çalışarak yaklaşık olarak %80 doğrululukla, sağ/sol hareket düşüncesinin ayrılmasını sağladı. Tek olay bazında %80-85 doğruluk oranıyla çalışan, geliştirilen BBA yöntemi, eylemi belirtmek için iki olay kullanıldığında %90-95 doğrulukla çalışıp zihinsel süreçlere bağlı hariç cihazların kontrolünü sağlayabilmektedir. 

Keywords

EEG, DVM

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