Listar Artículos de revista DIEC - IEKS Aldizkari artikuluak por autor UPNA "Cabeza Laguna, Rafael"
Mostrando ítems 1-12 de 12
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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 ... -
Attention to online channels across the path to purchase: an eye-tracking study
Currently, consumers display what is known as omnichannel behavior: the combined use of digital and physical channels providing them with multiple points of contact with firms. We combine the stimulus-organism-response (S-O-R) ... -
Differences in specific abdominal fat depots between metabolically healthy and unhealthy children with overweight/obesity: the role of cardiorespiratory fitness
Objectives: Fat depots localization has a critical role in the metabolic health status of adults. Nevertheless, whether that is also the case in children remains under- studied. Therefore, the aims of this study were: (i) ... -
The effect of a multicomponent intervention on steatosis is partially mediated by the reduction of intermuscular abdominal adipose tissue in children with overweight or obesity: the EFIGRO Project
OBJECTIVE: In adults, there is evidence that improvement of metabolic-associated fatty liver disease (MAFLD) depends on the reduction of myosteatosis. In children, in whom the prevalence of MAFLD is alarming, this muscle-liver ... -
Effects of a family-based lifestyle intervention plus supervised exercise training on abdominal fat depots in children with overweight or obesity: a secondary analysis of a nonrandomized clinical trial
Importance Excess abdominal fat is a major determinant in the development of insulin resistance and other metabolic disorders. Increased visceral adipose tissue (VAT) seems to precede the development of insulin resistance ... -
Evaluation of accurate eye corner detection methods for gaze estimation
Accurate detection of iris center and eye corners appears to be a promising approach for low cost gaze estimation. In this paper we propose novel eye inner corner detection methods. Appearance and feature based segmentation ... -
Fast and robust ellipse detection algorithm for head-mounted eye tracking systems
In head-mounted eye tracking systems, the correct detection of pupil position is a key factor in estimating gaze direction. However, this is a challenging issue when the videos are recorded in real-world conditions, due ... -
Gaze tracking system model based on physical parameters
In 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. ... -
Hybrid method based on topography for robust detection of iris center and eye corners
A multi-stage procedure to detect eye features is presented. Multiresolution and topographic classification are used to detect the iris center. The eye corner is calculated combining valley detection and eyelid curve ... -
Low cost gaze estimation: knowledge-based solutions
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 ... -
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 ... -
Robust and accurate 2D-tracking-based 3D positioning method: application to head pose estimation
Head pose estimation (HPE) is currently a growing research field, mainly because of the proliferation of human–computer interfaces (HCI) in the last decade. It offers a wide variety of applications, including human behavior ...