Gaze tracking system model based on physical parameters

dc.contributor.authorVillanueva Larre, Arantxa
dc.contributor.authorCabeza Laguna, Rafael
dc.contributor.authorPorta Cuéllar, Sonia
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.date.accessioned2020-02-05T13:32:20Z
dc.date.available2020-02-05T13:32:20Z
dc.date.issued2007
dc.description.abstractIn the past years, research in eye tracking development and applications has attracted much attention and the possibility of interacting with a computer employing just gaze information is becoming more and more feasible. Efforts in eye tracking cover a broad spectrum of fields, system mathematical modeling being an important aspect in this research. Expressions relating to several elements and variables of the gaze tracker would lead to establish geometric relations and to find out symmetrical behaviors of the human eye when looking at a screen. To this end a deep knowledge of projective geometry as well as eye physiology and kinematics are basic. This paper presents a model for a bright-pupil technique tracker fully based on realistic parameters describing the system elements. The system so modeled is superior to that obtained with generic expressions based on linear or quadratic expressions. Moreover, model symmetry knowledge leads to more effective and simpler calibration strategies, resulting in just two calibration points needed to fit the optical axis and only three points to adjust the visual axis. Reducing considerably the time spent by other systems employing more calibration points renders a more attractive model.en
dc.format.extent22 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.1142/S0218001407005697
dc.identifier.issn1793-6381
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/36175
dc.language.isoengen
dc.publisherWorld Scientific Publishingen
dc.relation.ispartofInternational Journal of Pattern Recognition and Artificial Intelligence Vol. 21, No. 5 (2007) 855–877en
dc.relation.publisherversionhttps://doi.org/10.1142/S0218001407005697
dc.rights© World Scientific Publishing Companyen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectEye trackingen
dc.subjectModelingen
dc.subjectCalibrationen
dc.subjectBright-pupil techniqueen
dc.subjectOptical axisen
dc.subjectVisual axisen
dc.titleGaze tracking system model based on physical parametersen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationd3bfd5bf-8426-455b-bcc4-897ddb0d4c2e
relation.isAuthorOfPublication42fe20f8-5341-4c0e-8686-333ce816adfd
relation.isAuthorOfPublication8f4eb99d-97ce-4dc9-b13a-18fcd2ab44e6
relation.isAuthorOfPublication.latestForDiscoveryd3bfd5bf-8426-455b-bcc4-897ddb0d4c2e

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