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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.
| Dergi Adı | 2015 19TH NATIONAL BIOMEDICAL ENGINEERING MEETING (BIYOMUT) |
| Sayfalar | - |
| Yayın Yılı | 2015 |
| 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 |