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Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5426-y
Abstract: Vision based text entry systems aim to help disabled people achieve text communication using eye movement. Most previous methods have employed an existing eye tracker to predict gaze direction and designed an input method based…
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Keywords:
input;
direction gaze;
gaze;
gaze estimation ... See more keywords
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Published in 2019 at "Heliyon"
DOI: 10.1016/j.heliyon.2019.e03033
Abstract: Eye gaze tracking has been used to study the influence of visual stimuli on consumer behavior and attentional processes. Eye gaze tracking techniques have made substantial contributions in advertisement design, human computer interaction, virtual reality…
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Keywords:
eye gaze;
gaze estimation;
eye;
research trends ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2734168
Abstract: Gaze estimation using monocular cameras has significant commercial applicability, and many studies have been undertaken on head pose-invariant and calibration-free gaze estimation. The head positions in existing data sets used in these studies are, however,…
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Keywords:
camera;
using monocular;
gaze;
calibration free ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2896303
Abstract: Accurately estimating the user’s gaze is important in many applications, such as human–computer interaction. Due to great convenience, appearance-based methods for gaze estimation have been a popular subject of research for many years. However, the…
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Keywords:
maximum correntropy;
method;
correntropy criterion;
estimation ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2929195
Abstract: Eye trackers are currently used to sense the positions of both the centers of the pupils and the point-of-gaze (POG) position on a screen, in keeping with the original objective for which they were designed;…
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Keywords:
method;
head movement;
point gaze;
point ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3013540
Abstract: Eye tracking is becoming a very important tool across many domains, including human-computer-interaction, psychology, computer vision, and medical diagnosis. Different methods have been used to tackle eye tracking, however, some of them are inaccurate under…
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Keywords:
gaze estimation;
deep learning;
survey;
eye ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3183357
Abstract: At present, intelligent computing applications are widely used in different domains, including retail stores. The analysis of customer behaviour has become crucial for the benefit of both customers and retailers. In this regard, the novel…
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Keywords:
gaze;
customer;
deep learning;
estimation ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3194123
Abstract: Facial occlusion and different appearances of both eyes in natural scenes can affect the accuracy of gaze estimation based on appearance. Therefore, this paper proposes a gaze estimation model based on cooperative network: CI-Net, including…
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Keywords:
network net;
appearance;
estimation;
net ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3234120
Abstract: The cross-ratio (CR)-based method exploits the invariance property of CRs in projective transformation to determine a screen point corresponding to the pupil center. However, this point is essentially the intersection of the eyeball optical axis…
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Keywords:
pupil;
screen;
weighted average;
center ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3071621
Abstract: How to automatically predict people’s gaze has attracted attention in the field of computer vision and machine learning. Previous studies on this topic set many constraints, such as restricted scenarios and strict and complex inputs.…
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Keywords:
multiple cues;
modeling multiple;
via joint;
estimation ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3152800
Abstract: Given a face image, most of previous works in gaze estimation infer the gaze via a well-trained model with supervised training. However, the distribution of test data may be very different compared to that of…
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Keywords:
adaptive network;
face eye;
modulation based;
estimation ... See more keywords