Mobile visual acuity assessment application: AcuMob

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dc.authorid0000-0001-9789-5012
dc.authorid0000-0002-1846-6090
dc.authorid0000-0002-0233-064X
dc.contributor.authorAkbulut, Akhan
dc.contributor.authorAydın, Muhammed Ali
dc.contributor.authorZaim, Abdül Halim
dc.date.accessioned2020-11-21T15:53:53Z
dc.date.available2020-11-21T15:53:53Z
dc.date.issued2017en_US
dc.departmentİstanbul Ticaret Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThis paper presents a mobile healthcare (mHealth) system for estimation of visual impairment that provides easiness by specifying the degree of an eye as orthoscopes. Our proposed system called AcuMob which is an Android based mobile application aimed to be used by patients who have myopia. In the crowd society, our proposed app will be implemented faster than the traditional ophthalmologic examination treatments as an alternative. Because AcuMob can be used in everywhere in any time slot, it is offered in the area where the ophthalmologist is not available. The system is developed with using Xamarin framework and voice commands are used to interact with mobile app. Some preferable letters that are suggested by the ophthalmologists were used in the system. The letter categories are specified according to letters' sizes. In the start-up screen, the biggest letter is demonstrated and if the user responds correct answer, the letter's size is being smaller. However, if the user says wrong answer three times consecutively, eyesight ratio is produced by the system to the user referencing to Snellen Chart's information. This article has aimed at making a prediction about the visual impairment's degree. Thanks to AcuMob, people can get idea about their visual acuity without consulting to an eye medical doctor (MD). For the evaluation of systems' reliability, field tests were performed at Bayrampaşa Göz Vakfi Hospital in Istanbul with two ophthalmologist specialists. At the end of trials, the actual diagnosed degrees and the equivalent degree of eyesight ratios according to Snellen Chart's information is compared and the success rates are shown. The system achieved at the 65% of average success rate, which can give users an idea about current condition of their visions.en_US
dc.identifier.citationAkbulut, A., Aydın, M. A., & Zaim, A. H. (2017). Mobile Visual Acuity Assessment Application: AcuMob. Istanbul University - Journal of Electrical & Electronics Engineering, 17(1), 3209–3215.
dc.identifier.endpage3186en_US
dc.identifier.issn1303-0914
dc.identifier.scopus2-s2.0-85027446653en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage3181en_US
dc.identifier.trdizinid262076en_US
dc.identifier.urihttps://hdl.handle.net/11467/3708
dc.identifier.volume17en_US
dc.identifier.wosWOS:000409406000020
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherIstanbul Universityen_US
dc.relation.ispartofIstanbul University - Journal of Electrical and Electronics Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEye Testen_US
dc.subjectEyesight Ratioen_US
dc.subjectM-Healthen_US
dc.subjectMobile Applicationen_US
dc.subjectVisual Acuityen_US
dc.titleMobile visual acuity assessment application: AcuMoben_US
dc.typeArticleen_US

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Scopus İndeksli Yayınlar Koleksiyonu
Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği (İngilizce) Bölümü Koleksiyonu
TR Dizin İndeksli Yayınlar
WoS İndeksli Yayınlar Koleksiyonu