English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

3D Gaze Estimation using Eye Vergence

MPS-Authors
There are no MPG-Authors available
External Ressource
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Gutierrez Mlot, E., Bahmani, H., Wahl, S., & Kasneci, E. (2016). 3D Gaze Estimation using Eye Vergence. In J. Gilbert, A. Azhari, & H. Ali (Eds.), BIOSTEC 2016: Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (pp. 125-131). Setúbal, Portugal: Scitepress.


Cite as: http://hdl.handle.net/21.11116/0000-0006-FFB1-3
Abstract
We propose a fast and robust method to estimate the 3D gaze position based on the eye vergence information extracted from eye-tracking data. This method is specially designed for Point-of-Regard (PoR) estimation in non-virtual environments with the aim to make it applicable to the study of human visual attention deployment in natural scenarios. Our approach starts with a calibration step at different depth distances in order to achieve the best depth approximation. In addition, we investigate the distance range, for which state-of-the-art eyetracking technology allows 3D gaze estimation based on eye vergence. Our method provides a mean accuracy of 1.2◦ at a working distance between 200 mm and 400 mm from the user without requiring calibrated lights or cameras.