We present OpenNEEDS, the first large-scale, high frame rate, comprehensive, and open-
source dataset of Non-Eye (head, hand, and scene) and Eye (3D gaze vectors) data …

State-of-the-art appearance-based gaze estimation methods, usually based on deep
learning techniques, mainly rely on static features. However, temporal trace of eye gaze …

Recent advances in head-mounted eye-tracking technology have allowed researchers to
monitor eye movements during locomotion in real-world environments, increasing the …

With continued advancements in portable eye-tracker technology liberating experimenters
from the restraints of artificial laboratory designs, research can now collect gaze data from …

The study of gaze behavior has primarily been constrained to controlled environments in
which the head is fixed. Consequently, little effort has been invested in the development of …

Analysis of everyday human gaze behaviour has significant potential for ubiquitous
computing, as evidenced by a large body of work in gaze-based human-computer …

Eye behavior has gained much interest in the VR research community as an interactive input
and support for collaboration. Researchers used head behavior and saliency to implement …

We introduce a novel method and dataset for 3D gaze estimation of a freely moving person
from a distance, typically in surveillance views. Eyes cannot be clearly seen in such cases …

Wearable eye-trackers offer exciting advantages over screen-based systems, but their use in
research settings has been hindered by significant analytic challenges as well as a lack of …

Human eye gaze plays a significant role in many virtual and augmented reality (VR/AR)
applications, such as gaze-contingent rendering, gaze-based interaction, or eye-based …