Computational models of the human visual field account for head, neck, and eye movements to calculate fixation likelihood
the verdict
SUPPORTED
the evidence backs this
confidence 87/100
Recent computational models of gaze and visual attention incorporate head, neck, and body movements alongside eye tracking to accurately predict fixation likelihood and gaze trajectories in dynamic environments.
Evidence for · 4
SGaze: A Data-Driven Eye-Head Coordination Model for Realtime Gaze Prediction
2019 · cited by 81
SGaze develops a data-driven eye-head coordination model for realtime gaze prediction by evaluating linear correlations between gaze positions and head rotation angular velocities.
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More for · 3
Pose2Gaze: Eye-Body Coordination During Daily Activities for Gaze Prediction From Full-Body Poses
2023 · cited by 15
Pose2Gaze presents an eye-body coordination model that extracts features from head direction and full-body poses to accurately predict human eye gaze.
Real-time Gaze Tracking with Head-eye Coordination for Head-mounted Displays
2022 · cited by 14
HE-Tracker demonstrates a multi-modal network that fuses head-movement features with eye features to successfully regress gaze positions in AR head-mounted displays.
A dataset of paired head and eye movements during visual tasks in virtual environments
2024 · cited by 4
This dataset pairs head and eye movements during visual tasks in virtual environments to enable predictive models of intended head movement conditioned on gaze.