Detection of directional eye movements based on the electrooculogram signals through an artificial neural network
Küçük Resim Yok
Tarih
2015
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pergamon-Elsevier Science Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The electrooculogram signals are very important at extracting information about detection of directional eye movements. Therefore, in this study, we propose a new intelligent detection model involving an artificial neural network for the eye movements based on the electrooculogram signals. In addition to conventional eye movements, our model also involves the detection of tic and blinking of an eye. We extract only two features from the electrooculogram signals, and use them as inputs for a feed-forwarded artificial neural network. We develop a new approach to compute these two features, which we call it as a movement range. The results suggest that the proposed model have a potential to become a new tool to determine the directional eye movements accurately. (C) 2015 Elsevier Ltd. All rights reserved.
Açıklama
Anahtar Kelimeler
Electrooculogram, Artificial neural network, Eye movements, System modeling, Movement range
Kaynak
Chaos Solitons & Fractals
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
77
