Electrooculogram and diplopia controlled fuzzy direction detect system

Coding of the organ movements have been seen commonly in the hardware designing which is useful for humanity in scientific researches. 5 sense organs which reveal different data with cellular structures, is the most important focus point. Especially, Eye is known as photosensitive sensor organ of living creature. There is a potential difference between cornea and retina of eye. This potential difference is known as electrooculogram (EOG). Nowadays, EOG signals are commonly used in these hardware designs. Obtained potential differences from EOG signals have been converted coded directional movements. Thus, in this study, 4 basic direction movements have been tried to detect with a fuzzy controlled model. It is shown that the fuzzy controlled system as determine the direction can be used successfully. In addition, eye direction movements of squint person are obtained by the system. © 2014 IEEE.

Dergi Adı 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
Sayfalar 265 - 268
Yayın Yılı 2014
Eser Adı
[dc.title]
Electrooculogram and diplopia controlled fuzzy direction detect system
Yazar
[dc.contributor.author]
Erkaymaz, Hande
Yazar
[dc.contributor.author]
Orak, I.Muharrem
Yazar
[dc.contributor.author]
Özer, Mahmut
Yayın Yılı
[dc.date.issued]
2014
Yayıncı
[dc.publisher]
IEEE Computer Society
Yayın Türü
[dc.type]
proceedings
Açıklama
[dc.description]
2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 -- 23 April 2014 through 25 April 2014 -- Trabzon -- 106053
Özet
[dc.description.abstract]
Coding of the organ movements have been seen commonly in the hardware designing which is useful for humanity in scientific researches. 5 sense organs which reveal different data with cellular structures, is the most important focus point. Especially, Eye is known as photosensitive sensor organ of living creature. There is a potential difference between cornea and retina of eye. This potential difference is known as electrooculogram (EOG). Nowadays, EOG signals are commonly used in these hardware designs. Obtained potential differences from EOG signals have been converted coded directional movements. Thus, in this study, 4 basic direction movements have been tried to detect with a fuzzy controlled model. It is shown that the fuzzy controlled system as determine the direction can be used successfully. In addition, eye direction movements of squint person are obtained by the system. © 2014 IEEE.
Kayıt Giriş Tarihi
[dc.date.accessioned]
2019-12-23
Açık Erişim Tarihi
[dc.date.available]
2019-12-23
Yayın Dili
[dc.language.iso]
tur
Konu Başlıkları
[dc.subject]
Diplopia
Konu Başlıkları
[dc.subject]
Direction Detect
Konu Başlıkları
[dc.subject]
EOG
Konu Başlıkları
[dc.subject]
Fuzzy Controler
Haklar
[dc.rights]
info:eu-repo/semantics/closedAccess
Alternatif Başlık
[dc.title.alternative]
Elektrookülogram ve göz kaymasi kontrollü bulanik yön tespit sistemi
İlk Sayfa Sayısı
[dc.identifier.startpage]
265
Son Sayfa Sayısı
[dc.identifier.endpage]
268
Dergi Adı
[dc.relation.journal]
2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
Tek Biçim Adres
[dc.identifier.uri]
https://dx.doi.org/10.1109/SIU.2014.6830216
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.12628/5597
Görüntülenme Sayısı ( Şehir )
Görüntülenme Sayısı ( Ülke )
Görüntülenme Sayısı ( Zaman Dağılımı )
Görüntülenme
376
09.12.2022 tarihinden bu yana
İndirme
1
09.12.2022 tarihinden bu yana
Son Erişim Tarihi
11 Haziran 2024 09:19
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movements potential direction controlled system signals hardware commonly difference Coding directional converted obtained person squint addition successfully determine Obtained detect differences retina designs cellular different reveal organs researches scientific humanity useful designing structures important between
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