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

William Andrew Blakey, Stamos Katsigiannis*, Navid Hajimirza, Naeem Ramzan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationIS&T Electronic Imaging 2020
Subtitle of host publicationHuman Vision and Electronic Imaging
PublisherSociety for Imaging Science and Technology
Number of pages10
DOIs
Publication statusPublished - 26 Jan 2020
EventHuman Vision and Electronic Imaging - Hyatt Regency San Francisco Airport, Burlingame, United States
Duration: 26 Jan 202030 Jan 2020
http://www.imaging.org/site/IST/IST/Conferences/EI/EI_2020/Conference/C_HVEI.aspx

Publication series

NameProceedings
PublisherIngenta
ISSN (Print)2161-8798
ISSN (Electronic)2168-3204

Conference

ConferenceHuman Vision and Electronic Imaging
Abbreviated titleHVEI
CountryUnited States
CityBurlingame
Period26/01/2030/01/20
Internet address

Fingerprint Dive into the research topics of 'Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking'. Together they form a unique fingerprint.

  • Cite this

    Blakey, W. A., Katsigiannis, S., Hajimirza, N., & Ramzan, N. (2020). Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking. In IS&T Electronic Imaging 2020: Human Vision and Electronic Imaging [129] (Proceedings). Society for Imaging Science and Technology. https://doi.org/10.2352/ISSN.2470-1173.2020.11.HVEI-129