Accurate Pupil Center Detection in Off-the-Shelf Eye Tracking Systems Using Convolutional Neural Networks

Autor: Andoni Larumbe-Bergera, Gonzalo Garde, Sonia Porta, Rafael Cabeza, Arantxa Villanueva

Publikováno v: Sensors, Vol 21, Iss 20, p 6847 (2021)

Remote eye tracking technology has suffered an increasing growth in recent years due to its applicability in many research areas. In this paper, a video-oculography method based on convolutional neural networks (CNNs) for pupil center detection over

Externí odkaz: https://doaj.org/article/55d0abc26dbd4a6d8b91ae932239283a

Accurate Pupil Center Detection in Off-the-Shelf Eye Tracking Systems Using Convolutional Neural Networks

Autor: Rafael Cabeza, Arantxa Villanueva, Andoni Larumbe-Bergera, Sonia Porta, Gonzalo Garde

Publikováno v: Sensors (Basel, Switzerland)
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
Sensors, Vol 21, Iss 6847, p 6847 (2021)

Remote eye tracking technology has suffered an increasing growth in recent years due to its applicability in many research areas. In this paper, a video-oculography method based on convolutional neural networks (CNNs) for pupil center detection over

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::429fb583448183d7b227884365563181
https://pubmed.ncbi.nlm.nih.gov/34696060

Low-cost eye tracking calibration: a knowledge-based study

Autor: Sonia Porta, Benoît Bossavit, Rafael Cabeza, Arantxa Villanueva, Gonzalo Garde, Andoni Larumbe-Bergera

Publikováno v: Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
Sensors
Volume 21
Issue 15
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 5109, p 5109 (2021)

Subject calibration has been demonstrated to improve the accuracy in high-performance eye trackers. However, the true weight of calibration in off-the-shelf eye tracking solutions is still not addressed. In this work, a theoretical framework to measu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59b27044f6b51a14d1f780ca39cc0412
https://hdl.handle.net/2454/41210

SeTA

Autor: Arantxa Villanueva, Andoni Larumbe-Bergera, Sonia Porta, Rafael Cabeza

Publikováno v: ETRA
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname

Availability of large scale tagged datasets is a must in the field of deep learning applied to the eye tracking challenge. In this paper, the potential of Supervised-Descent-Method (SDM) as a semiautomatic labelling tool for eye tracking images is sh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9124490a2e4f51951191013b29d703ec
https://doi.org/10.1145/3314111.3319830

Low cost gaze estimation: knowledge-based solutions

Autor: Mikel Ariz, Sonia Porta, Ion Martinikorena, Andoni Larumbe-Bergera, Rafael Cabeza, Arantxa Villanueva

Publikováno v: Dadun. Depósito Académico Digital de la Universidad de Navarra
instname
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra

Eye tracking technology in low resolution scenarios is not a completely solved issue to date. The possibility of using eye tracking in a mobile gadget is a challenging objective that would permit to spread this technology to non-explored fields. In t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cafb34cab458219e78a05ab50524d6e
https://hdl.handle.net/10171/64434