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Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the art
Robust and accurate detection of the pupil position is a key building block for head-mounted
eye tracking and prerequisite for applications on top, such as gaze-based human–computer …
eye tracking and prerequisite for applications on top, such as gaze-based human–computer …
Detecting soldiers' fatigue using eye-tracking glasses: Practical field applications and research opportunities
T Schweizer, T Wyss, R Gilgen-Ammann - Military medicine, 2022 - academic.oup.com
Introduction Objectively determining soldiers' fatigue levels could help prevent injuries or
accidents resulting from inattention or decreased alertness. Eye-tracking technologies, such …
accidents resulting from inattention or decreased alertness. Eye-tracking technologies, such …
Mpiigaze: Real-world dataset and deep appearance-based gaze estimation
Learning-based methods are believed to work well for unconstrained gaze estimation, ie
gaze estimation from a monocular RGB camera without assumptions regarding user …
gaze estimation from a monocular RGB camera without assumptions regarding user …
[HTML][HTML] DeepVOG: Open-source pupil segmentation and gaze estimation in neuroscience using deep learning
YH Yiu, M Aboulatta, T Raiser, L Ophey… - Journal of neuroscience …, 2019 - Elsevier
Background A prerequisite for many eye tracking and video-oculography (VOG) methods is
an accurate localization of the pupil. Several existing techniques face challenges in images …
an accurate localization of the pupil. Several existing techniques face challenges in images …
The impact of slippage on the data quality of head-worn eye trackers
DC Niehorster, T Santini, RS Hessels… - Behavior research …, 2020 - Springer
Mobile head-worn eye trackers allow researchers to record eye-movement data as
participants freely move around and interact with their surroundings. However, participant …
participants freely move around and interact with their surroundings. However, participant …
Nvgaze: An anatomically-informed dataset for low-latency, near-eye gaze estimation
J Kim, M Stengel, A Majercik, S De Mello… - Proceedings of the …, 2019 - dl.acm.org
Quality, diversity, and size of training data are critical factors for learning-based gaze
estimators. We create two datasets satisfying these criteria for near-eye gaze estimation …
estimators. We create two datasets satisfying these criteria for near-eye gaze estimation …
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 …
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 …
mounted devices. TEyeD was acquired with seven different head-mounted eye trackers …
A dual neural network for object detection in UAV images
G Tian, J Liu, W Yang - Neurocomputing, 2021 - Elsevier
Computer vision analysis in Unmanned Aerial Vehicle (UAV) represents a major trend in the
future development. Object detection in UAV images is one of the important techonlogies to …
future development. Object detection in UAV images is one of the important techonlogies to …
Openeds: Open eye dataset
We present a large scale data set, OpenEDS: Open Eye Dataset, of eye-images captured
using a virtual-reality (VR) head mounted display mounted with two synchronized eyefacing …
using a virtual-reality (VR) head mounted display mounted with two synchronized eyefacing …
Ellseg: An ellipse segmentation framework for robust gaze tracking
RS Kothari, AK Chaudhary, RJ Bailey… - … on Visualization and …, 2021 - ieeexplore.ieee.org
Ellipse fitting, an essential component in pupil or iris tracking based video oculography, is
performed on previously segmented eye parts generated using various computer vision …
performed on previously segmented eye parts generated using various computer vision …