EOG Based Intelligent Direction Detect System with Pre-Filtering Algorithm

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dc.authoridOrak, Ilhami Muharrem/0000-0002-7219-4209
dc.authoridKAYA, CEREN/0000-0002-1970-2833
dc.contributor.authorErkaymaz, Hande
dc.contributor.authorOzer, Mahmut
dc.contributor.authorKaya, Ceren
dc.contributor.authorOrak, I. Muharrem
dc.date.accessioned2024-09-29T16:11:25Z
dc.date.available2024-09-29T16:11:25Z
dc.date.issued2015
dc.departmentKarabük Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_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 FOG 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.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage1231en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.startpage1228en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8421
dc.identifier.wosWOS:000380500900287en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEOGen_US
dc.subjectPre-Filteringen_US
dc.subjectArtificial Networken_US
dc.subjectConfusion Matrixen_US
dc.subjectDirection Detecten_US
dc.titleEOG Based Intelligent Direction Detect System with Pre-Filtering Algorithmen_US
dc.typeConference Objecten_US

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