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Generating accurate 3D gaze vectors using synchronized eye tracking and motion capture
View ORCID ProfileScott A. Stone, Quinn A. Boser, T. Riley Dawson, Albert H. Vette, Jacqueline S. Hebert, Patrick M. Pilarski, Craig S. Chapman
doi: https://doi.org/10.1101/2021.10.22.465332
Scott A. Stone
1Department of Psychology, University of Alberta
Quinn A. Boser
2Division of Physical Medicine and Rehabilitation, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta
T. Riley Dawson
2Division of Physical Medicine and Rehabilitation, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta
Albert H. Vette
3Department of Mechanical Engineering, University of Alberta
Jacqueline S. Hebert
2Division of Physical Medicine and Rehabilitation, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta
Patrick M. Pilarski
2Division of Physical Medicine and Rehabilitation, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta
4Alberta Machine Intelligence Institute
Craig S. Chapman
5Faculty of Kinesiology, Sport, and Recreation, University of Alberta
6Neuroscience and Mental Health Institute, University of Alberta
Posted October 24, 2021.
Generating accurate 3D gaze vectors using synchronized eye tracking and motion capture
Scott A. Stone, Quinn A. Boser, T. Riley Dawson, Albert H. Vette, Jacqueline S. Hebert, Patrick M. Pilarski, Craig S. Chapman
bioRxiv 2021.10.22.465332; doi: https://doi.org/10.1101/2021.10.22.465332
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