Listar por autor UPNA "Garde Lecumberri, Gonzalo"
Mostrando ítems 1-5 de 5
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Accurate pupil center detection in off-the-shelf eye tracking systems using convolutional neural networks
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 ... -
Gaze estimation problem tackled through synthetic images
(Association for Computing Machinery (ACM), 2020) Contribución a congreso / Biltzarrerako ekarpenaIn this paper, we evaluate a synthetic framework to be used in the field of gaze estimation employing deep learning techniques. The lack of sufficient annotated data could be overcome by the utilization of a synthetic ... -
Low-cost eye tracking calibration: a knowledge-based study
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 ... -
Synthetic gaze data augmentation for improved user calibration
In this paper, we focus on the calibration possibilitiesó of a deep learning based gaze estimation process applying transfer learning, comparing its performance when using a general dataset versus when using a gaze specific ... -
U2Eyes: a binocular dataset for eye tracking and gaze estimation
Theory shows that huge amount of labelled data are needed in order to achieve reliable classification/regression methods when using deep/machine learning techniques. However, in the eye tracking field, manual annotation ...