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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
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
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
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 …