Computer Vision and Eyetracking Approach for Assessing Visual Disorders in Premature Infants

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Computer Vision and Eyetracking Approach for Assessing Visual Disorders in Premature Infants

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dc.contributor Universidade Federal de Santa Catarina. pt_BR
dc.contributor.advisor Sobieranski, Antonio Carlos
dc.contributor.author Souza, Rodrigo Ferraz
dc.date.accessioned 2024-12-18T18:59:21Z
dc.date.available 2024-12-18T18:59:21Z
dc.date.issued 2024-09-23
dc.identifier.uri https://repositorio.ufsc.br/handle/123456789/262151
dc.description TCC (graduação) - Universidade Federal de Santa Catarina, Campus Araranguá, Engenharia de Computação. pt_BR
dc.description.abstract Premature infants are subjected to an elevated risk of abnormal visual development, leading to potential visual impairments such as field defects, optic nerve dysfunctions, eye movement abnormalities, and nystagmus. To mitigate these dangers, early and exact assessment is important. This paper presents a computer vision approach that uses face mapping and eye-tracking technologies to objectively and accurately assess further visual disorders in infants. Our methodology integrates eye-tracking with facial recognition techniques to quantify eye movements and gaze stability accurately. Detailed video recordings of infants responses to visual stimuli are analyzed using a custom-developed algorithm, which processes eye and head movements to generate precise metrics of visual function. The results demonstrate that our computational tool significantly enhances the diagnostic capabilities by providing quantifiable and objective metrics that supports the clinical observations, thus assisting healthcare professionals in identifying and addressing potential visual abnormalities at early stages effectively. pt_BR
dc.language.iso eng pt_BR
dc.publisher Araranguá, SC. pt_BR
dc.rights Open Access. en
dc.subject Eye tracking pt_BR
dc.subject Visual Assessment pt_BR
dc.subject Premature Infants pt_BR
dc.subject Computational Diagnosis pt_BR
dc.subject Facial Recognition pt_BR
dc.subject Computer Vision pt_BR
dc.title Computer Vision and Eyetracking Approach for Assessing Visual Disorders in Premature Infants pt_BR
dc.type TCCgrad pt_BR
dc.contributor.advisor-co Moran, Cristiane Aparecida


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