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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, E-mail:
Quinn A. Boser
2Division of Physical Medicine and Rehabilitation, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, E-mail:
T. Riley Dawson
3Division of Physical Medicine and Rehabilitation, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, E-mail:
Albert H. Vette
4Department of Mechanical Engineering, University of Alberta, E-mail:
Jacqueline S. Hebert
5Division of Physical Medicine and Rehabilitation, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, E-mail:
Patrick M. Pilarski
6Division of Physical Medicine and Rehabilitation, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Alberta Machine Intelligence Institute, E-mail:
Craig S. Chapman
7Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Neuroscience and Mental Health Institute, University of Alberta, E-mail:
Posted April 25, 2022.
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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