Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking

Blakey, William A.; Katsigiannis, Stamos; Hajimirza, Navid; Ramzan, Naeem

Abstract

This work examines the different terminology used for defining gaze tracking technology and explores the different methodologies used for describing their respective accuracy. Through a comparative study of different gaze tracking technologies, such as infrared and webcam-based, and utilising a variety of accuracy metrics, this work shows how the reported accuracy can be misleading. The lack of intersection points between the gaze vectors of different eyes (also known as convergence points) in definitions has a huge impact on accuracy measures and directly impacts the robustness of any accuracy measuring methodology. Different accuracy metrics and tracking definitions have been collected and tabulated to more formally demonstrate the divide in definitions.

Citation

Blakey, W. A., Katsigiannis, S., Hajimirza, N., & Ramzan, N. (2020, December). Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking. Presented at IS&T International Symposium on Electronic Imaging, Burlingame, CA, USA

• Presentation Conference Type: Conference Paper (published)
• Conference Name: IS&T International Symposium on Electronic Imaging
• Online Publication Date: Jan 26, 2020
• Publication Date: 2020
• Deposit Date: Sep 15, 2020
• Publicly Available Date: Sep 18, 2020
• Pages: 129.1-129.9
• Series ISSN: 2470-1173
• Book Title: IS&T International Symposium on Electronic Imaging 2020 : Human vision and electronic imaging.
• DOI: https://doi.org/10.2352/issn.2470-1173.2020.11.hvei-129
• Public URL: https://durham-repository.worktribe.com/output/1139883