A video based eye detection system for bipolar disorder diagnosis

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dc.contributor.authorAkinci G.
dc.contributor.authorPolat E.
dc.contributor.authorKoçak O.M.
dc.date.accessioned2020-06-25T15:17:15Z
dc.date.available2020-06-25T15:17:15Z
dc.date.issued2012
dc.departmentKırıkkale Üniversitesi
dc.description2012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla -- 90786
dc.description.abstractIn this study, a video-based pupil detection system and neuropsychological tests for the system are developed for diagnosis of neuropsychiatric disorders. An Active Contour Snake model is proposed to extract the position (x,y) and radius (r) information of pupils in video sequences. The test in this research is applied to two different groups, namely; bipolar disorder group and control (nonbipolar) group. In order to conduct the test application, a number of selected words are shown to the people on a computer screen. While they are reading these words, the pupil detection system is used to determine the coordinates of the screen where the eye looking at and how long it takes to look at these words simultaneously. This information acquired from these tests is used as a feature vector in Support Vector Machines (SVM) for classifying the bipolar disorder and control groups. © 2012 IEEE.en_US
dc.identifier.doi10.1109/SIU.2012.6204617
dc.identifier.isbn9781467300568
dc.identifier.scopus2-s2.0-84863446178
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU.2012.6204617
dc.identifier.urihttps://hdl.handle.net/20.500.12587/2233
dc.indekslendigikaynakScopus
dc.language.isotr
dc.relation.ispartof2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleA video based eye detection system for bipolar disorder diagnosisen_US
dc.title.alternativeBi?polar bozukluk teşhi?si? i?çi?n vi?deo tabanli göz i?zleme si?stemi?en_US
dc.typeConference Object

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