EOG based intelligent direction detect system with pre-filtering algorithm

Basit Öğe Kaydı
dc.contributor.authorErkaymaz, H.
dc.contributor.authorÖzer, M.
dc.contributor.authorKaya, C.
dc.contributor.authorOrak, I.M.
dc.date.accessioned2024-09-29T16:20:44Z
dc.date.available2024-09-29T16:20:44Z
dc.date.issued2015
dc.departmentKarabük Üniversitesien_US
dc.description2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 16 May 2015 through 19 May 2015 -- Malatya -- 113052en_US
dc.description.abstractNowadays, artificial movements have been obtained by utilizing other organs for paralyzed patients. Especially the usage of eye movements for giving message to outside world became popular as a scientific subject. In studies according to eye movements, the Electrooculogram (EOG) signal is used. In this study, the vertical and horizontal EOG signals taken from electrodes, placed around the eyes, have been modelled by using Artificial Neural Networks (ANN) which is one of artificial intelligent technique. The system can sense four main directions (Right, Left, Up and Down) at the same time it can also detect blinking movements. Firstly, the signals have been pre-filtered, amplified and classified by ANN. The performance of recommended model has been demonstrated by analyzing statistical accuracy and confusion matrix according to the features of obtained signal. It has been seen that eye movements can be successfully determined by designed model. © 2015 IEEE.en_US
dc.identifier.doi10.1109/SIU.2015.7130059
dc.identifier.endpage1231en_US
dc.identifier.isbn978-146737386-9
dc.identifier.scopus2-s2.0-84939135830en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1228en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2015.7130059
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9275
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectConfusion Matrixen_US
dc.subjectDirection Detecten_US
dc.subjectEOGen_US
dc.subjectPre-Filteringen_US
dc.titleEOG based intelligent direction detect system with pre-filtering algorithmen_US
dc.title.alternativeÖn Eşik Filtreleme Algoritmasi ile EOG Temelli Akilli Yön Tespit Sistemien_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu