Generating accurate 3D gaze vectors using synchronized eye tracking and motion capture
Scott A. Stone, Quinn A. Boser, Todd Dawson, Albert H. Vette, Jacqueline S. Hebert, Patrick M. Pilarski, Craig S. Chapman
This study develops a method to generate accurate 3D gaze vectors by combining eye tracking and motion capture, finding that spherical coordinates and binocular data yield the best results.
Behavior Research Methods · Sep 9, 2022Peer-reviewedNeuroscience