Appearance-based gaze estimation with deep learning: A review and benchmark

Y Cheng, H Wang, Y Bao, F Lu - IEEE Transactions on Pattern …, 2024 - ieeexplore.ieee.org
Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …

A review of recent deep learning approaches in human-centered machine learning

T Kaluarachchi, A Reis, S Nanayakkara - Sensors, 2021 - mdpi.com
After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …

Near‐eye display and tracking technologies for virtual and augmented reality

GA Koulieris, K Akşit, M Stengel… - Computer Graphics …, 2019 - Wiley Online Library
Virtual and augmented reality (VR/AR) are expected to revolutionise entertainment,
healthcare, communication and the manufacturing industries among many others. Near‐eye …

Ev-eye: Rethinking high-frequency eye tracking through the lenses of event cameras

G Zhao, Y Yang, J Liu, N Chen… - Advances in Neural …, 2023 - proceedings.neurips.cc
In this paper, we present EV-Eye, a first-of-its-kind large scale multimodal eye tracking
dataset aimed at inspiring research on high-frequency eye/gaze tracking. EV-Eye utilizes an …

Eye gaze estimation: A survey on deep learning-based approaches

P Pathirana, S Senarath, D Meedeniya… - Expert Systems with …, 2022 - Elsevier
Human gaze estimation plays a major role in many applications in human–computer
interaction and computer vision by identifying the users' point-of-interest. Revolutionary …

Teyed: Over 20 million real-world eye images with pupil, eyelid, and iris 2d and 3d segmentations, 2d and 3d landmarks, 3d eyeball, gaze vector, and eye movement …

W Fuhl, G Kasneci, E Kasneci - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
We present TEyeD, the world's largest unified public data set of eye images taken with head-
mounted devices. TEyeD was acquired with seven different head-mounted eye trackers …

In the eye of the beholder: A survey of gaze tracking techniques

J Liu, J Chi, H Yang, X Yin - Pattern Recognition, 2022 - Elsevier
Gaze tracking estimates and tracks the user's gaze by analyzing facial or eye features, it is
an important way to realize automated vision-based interaction. This paper introduces the …

Ritnet: Real-time semantic segmentation of the eye for gaze tracking

AK Chaudhary, R Kothari, M Acharya… - 2019 IEEE/CVF …, 2019 - ieeexplore.ieee.org
Accurate eye segmentation can improve eye-gaze estimation and support interactive
computing based on visual attention; however, existing eye segmentation methods suffer …

Automatic gaze analysis: A survey of deep learning based approaches

S Ghosh, A Dhall, M Hayat, J Knibbe… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …

Event based, near eye gaze tracking beyond 10,000 hz

AN Angelopoulos, JNP Martel, APS Kohli… - arxiv preprint arxiv …, 2020 - arxiv.org
The cameras in modern gaze-tracking systems suffer from fundamental bandwidth and
power limitations, constraining data acquisition speed to 300 Hz realistically. This obstructs …