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dc.contributor.authorAbromavičius, Vytautas
dc.contributor.authorSerackis, Artūras
dc.date.accessioned2023-09-18T17:19:08Z
dc.date.available2023-09-18T17:19:08Z
dc.date.issued2018
dc.identifier.issn0208-5216
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/121903
dc.description.abstractDepth perception by binocular cues is based on the matching of image features from one retina with corresponding elements from the second retina. However, high disparities are related to the higher visual discomfort levels and may cause the eye fatigue during extended stereoscopic perception time. The goal of the investigation was to find a set of measurable features for stereoscopic image visual comfort level prediction. The investigation involved gaze, pupillometric and EEG data from 28 subjects who evaluated visual comfort level of 120 stereoscopic images. Six different time frame windows were used to analyze four measured features: the number of focus points; the dynamics of pupil size; disparity level at the focus points; the activity of EEG bands at the frontal lobe. A significant difference was found in all investigated stereoscopic image groups. 2-s and 5-s pre-DPI window showed best results for the selected feature sets. The higher disparity at the focus points, lower number of focus points are related to the lower levels of visual comfort. However, features such as the number of focus points, the pupil size and the disparity level for the images with lowest visual comfort scores showed similar results to the images scored as “comfortable” or “very comfortable”.eng
dc.formatPDF
dc.format.extentp. 810-818
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScienceDirect
dc.source.urihttps://doi.org/10.1016/j.bbe.2018.08.001
dc.titleEye and EEG activity markers for visual comfort level of images
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references47
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyElektronikos fakultetas / Faculty of Electronics
dc.subject.researchfieldT 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsIK0202 - Išmaniosios signalų apdorojimo ir ryšių technologijos / Smart Signal Processing and Telecommunication Technologies
dc.subject.ltspecializationsL105 - Sveikatos technologijos ir biotechnologijos / Health technologies and biotechnologies
dc.subject.eneye tracking
dc.subject.envisual comfort
dc.subject.enelectroencephalogram
dcterms.sourcetitleBiocybernetics and biomedical engineering
dc.description.issueiss. 4
dc.description.volumevol. 38
dc.publisher.nameElsevier
dc.publisher.cityAmsterdam
dc.identifier.doi2-s2.0-85052138648
dc.identifier.doi000448429800004
dc.identifier.doi10.1016/j.bbe.2018.08.001
dc.identifier.elaba30325780


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