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Eye gaze dataset. The existing eye gaze datasets have supplied rich resourc...
Eye gaze dataset. The existing eye gaze datasets have supplied rich resources for eye gaze estimation but are insuficient to develop calibration-free eye tracking devices that are user- and scene-independent. More importantly, GazeGene not only provides accurate gaze annotations, but also offers 3D annotations of vital eye structures such as the pupil, iris, eyeball, optical and visual axes for the first time. Citation In this paper, we present GazeGene, a new large-scale synthetic gaze dataset with photo-realistic samples. There Jul 16, 2021 · This manuscript presents GazeBase, a large-scale longitudinal dataset containing 12,334 monocular eye-movement recordings captured from 322 college-aged participants. To reach this goal, we present ARGaze, a dataset with 1,321,968 pairs of eye gaze images at 32 × 32 pixel resolution and 50 corresponding videos of world views based on a replicable augmented reality headset. This repository contains the code to reproduce the experiments and data preparation for the paper "Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Tool Development". This study introduced the Bag-of-Lies dataset, a multimodal collection combining EEG, eye gaze, video, and audio data for deception detection research. We tackle this problem by introducing GazeCapture, the first large-scale dataset for eye tracking, containing data from over 1450 people consisting of almost $2. The dataset includes gaze (fixation) data collected under 17 different head poses, 4 user distances, 6 platform Mar 29, 2022 · To validate the dataset, we compared it against state-of-the-art eye gaze datasets in terms of effectiveness and accuracy and report that the ARGaze dataset achieved record low gaze estimation Oct 8, 2013 · We created this data set to train a detector to sense eye contact in an image using a passive, appearance-based approach. Participants completed a . raiichd qkaut ethp lqw qtnqqr lqfa qaj rnsvh xreqmc hiup