EOG controlled direction detect system with neuro-fuzzy approach

The eye, which has the most advanced features among sense organs, has a perfect functioning on people. Furthermore, as it is placed in the lead role of vision, shows the importance for people is quite big. Nowadays, biomedical devices developed for patients who have mobility are benefiting from eye movements. Electrooculogram studies are especially designed on the basis of the signal depending on the movement of your eyes. Electrical origin of EOG biological signal, that occur around the eye pupil, makes an attempt to meet the needs of patients by the right, left, up, down and blinking action. In this study, 4 basic differences existing in the direction of movement using voltage controlled EOG signal studies have tried to determine the Neuro-Fuzzy model. Determining the direction of Neuro-Fuzzy control system demonstrates how it can be successfully used as. In addition, control algorithms of artificial intelligence systems that use this kind of eye signals benefiting from the input of the detection process is advantageous in the classification of complex environment.

Eser Adı
[dc.title]
EOG controlled direction detect system with neuro-fuzzy approach
Yayıncı
[dc.publisher]
IEEE
Yayın Türü
[dc.type]
conferenceObject
Açıklama
[dc.description]
19th National Biomedical Engineering Meeting (BIYOMUT) -- NOV 05-06, 2015 -- Istanbul, TURKEY
Açıklama
[dc.description]
WOS: 000380507300010
Özet
[dc.description.abstract]
The eye, which has the most advanced features among sense organs, has a perfect functioning on people. Furthermore, as it is placed in the lead role of vision, shows the importance for people is quite big. Nowadays, biomedical devices developed for patients who have mobility are benefiting from eye movements. Electrooculogram studies are especially designed on the basis of the signal depending on the movement of your eyes. Electrical origin of EOG biological signal, that occur around the eye pupil, makes an attempt to meet the needs of patients by the right, left, up, down and blinking action. In this study, 4 basic differences existing in the direction of movement using voltage controlled EOG signal studies have tried to determine the Neuro-Fuzzy model. Determining the direction of Neuro-Fuzzy control system demonstrates how it can be successfully used as. In addition, control algorithms of artificial intelligence systems that use this kind of eye signals benefiting from the input of the detection process is advantageous in the classification of complex environment.
Kayıt Giriş Tarihi
[dc.date.accessioned]
2019-12-23
Açık Erişim Tarihi
[dc.date.available]
2019-12-23
Yayın Yılı
[dc.date.issued]
2015
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.12628/2556
Yayın Dili
[dc.language.iso]
tur
Yazar
[dc.contributor.author]
Erkaymaz, Hande
Yazar
[dc.contributor.author]
Özer, Mahmut
Yazar
[dc.contributor.author]
Kaya, Ceren
Künye
[dc.identifier.citation]
Erkaymaz, H., Özer, M. ve Kaya, C. (2015). EOG controlled direction detect system with neuro-fuzzy approach. 2015 19th National Biomedical Engineering Meeting (BIYOMUT) içinde (ss. 1–4). doi:10.1109/BIYOMUT.2015.7369442
Haklar
[dc.rights]
info:eu-repo/semantics/closedAccess
Yazar Departmanı
[dc.contributor.department]
Zonguldak Bülent Ecevit Üniversitesi
Dergi Adı
[dc.relation.journal]
2015 19TH NATIONAL BIOMEDICAL ENGINEERING MEETING (BIYOMUT)
ISBN
[dc.identifier.isbn]
978-1-4673-8654-8
Görüntülenme Sayısı ( Şehir )
Görüntülenme Sayısı ( Ülke )
Görüntülenme Sayısı ( Zaman Dağılımı )
Görüntülenme
45
09.12.2022 tarihinden bu yana
İndirme
1
09.12.2022 tarihinden bu yana
Son Erişim Tarihi
15 Şubat 2024 19:13
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Tıklayınız
signal movement direction studies control patients Neuro-Fuzzy benefiting people action determine blinking voltage controlled existing differences system systems environment complex classification advantageous process detection signals intelligence Determining artificial algorithms addition successfully demonstrates Furthermore Nowadays importance
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