Models for gaze tracking systems

One of the most confusing aspects that one meets when introducing oneself into gaze tracking technology is the wide variety, in terms of hardware equipment, of available systems that provide solutions to the same matter, that is, determining the point the subject is looking at. The calibration proce...

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Detalhes bibliográficos
Autores: Villanueva Larre, Arantxa, Cabeza Laguna, Rafael
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2007
País:España
Recursos:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/18331
Acesso em linha:https://hdl.handle.net/2454/18331
Access Level:acceso abierto
Palavra-chave:Gaze tracking
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spelling Models for gaze tracking systemsVillanueva Larre, ArantxaCabeza Laguna, RafaelGaze trackingOne of the most confusing aspects that one meets when introducing oneself into gaze tracking technology is the wide variety, in terms of hardware equipment, of available systems that provide solutions to the same matter, that is, determining the point the subject is looking at. The calibration process permits generally adjusting nonintrusive trackers based on quite different hardware and image features to the subject. The negative aspect of this simple procedure is that it permits the system to work properly but at the expense of a lack of control over the intrinsic behavior of the tracker. The objective of the presented article is to overcome this obstacle to explore more deeply the elements of a video-oculographic system, that is, eye, camera, lighting, and so forth, from a purely mathematical and geometrical point of view. The main contribution is to find out the minimum number of hardware elements and image features that are needed to determine the point the subject is looking at. A model has been constructed based on pupil contour and multiple lighting, and successfully tested with real subjects. On the other hand, theoretical aspects of video-oculographic systems have been thoroughly reviewed in order to build a theoretical basis for further studies.Hindawi Publishing CorporationIngeniería Eléctrica y ElectrónicaIngeniaritza Elektrikoa eta Elektronikoa2007info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2454/18331reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglés© 2007 Villanueva and Cabeza. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.https://creativecommons.org/licenses/by/2.0/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/183312026-06-17T12:41:47Z
dc.title.none.fl_str_mv Models for gaze tracking systems
title Models for gaze tracking systems
spellingShingle Models for gaze tracking systems
Villanueva Larre, Arantxa
Gaze tracking
title_short Models for gaze tracking systems
title_full Models for gaze tracking systems
title_fullStr Models for gaze tracking systems
title_full_unstemmed Models for gaze tracking systems
title_sort Models for gaze tracking systems
dc.creator.none.fl_str_mv Villanueva Larre, Arantxa
Cabeza Laguna, Rafael
author Villanueva Larre, Arantxa
author_facet Villanueva Larre, Arantxa
Cabeza Laguna, Rafael
author_role author
author2 Cabeza Laguna, Rafael
author2_role author
dc.contributor.none.fl_str_mv Ingeniería Eléctrica y Electrónica
Ingeniaritza Elektrikoa eta Elektronikoa
dc.subject.none.fl_str_mv Gaze tracking
topic Gaze tracking
description One of the most confusing aspects that one meets when introducing oneself into gaze tracking technology is the wide variety, in terms of hardware equipment, of available systems that provide solutions to the same matter, that is, determining the point the subject is looking at. The calibration process permits generally adjusting nonintrusive trackers based on quite different hardware and image features to the subject. The negative aspect of this simple procedure is that it permits the system to work properly but at the expense of a lack of control over the intrinsic behavior of the tracker. The objective of the presented article is to overcome this obstacle to explore more deeply the elements of a video-oculographic system, that is, eye, camera, lighting, and so forth, from a purely mathematical and geometrical point of view. The main contribution is to find out the minimum number of hardware elements and image features that are needed to determine the point the subject is looking at. A model has been constructed based on pupil contour and multiple lighting, and successfully tested with real subjects. On the other hand, theoretical aspects of video-oculographic systems have been thoroughly reviewed in order to build a theoretical basis for further studies.
publishDate 2007
dc.date.none.fl_str_mv 2007
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2454/18331
url https://hdl.handle.net/2454/18331
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/2.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Hindawi Publishing Corporation
publisher.none.fl_str_mv Hindawi Publishing Corporation
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
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