3D gaze in virtual reality: vergence, calibration, event detection

Duchowski, A, Krejz, K, Volonte, M, Hughes, C ORCID: https://orcid.org/0000-0002-4468-6660, Brescia-Zapata, M and Orero, P 2022, 3D gaze in virtual reality: vergence, calibration, event detection , in: 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022), 07/09/2022 - 09/09/2022, Verona, Italy.

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Abstract

Eye movement analysis in modern 3D rendering systems is reviewed and three new techniques are derived inspired by work developed in early Virtual Reality so-called 2:5D implementations, namely (a) gaze depth (i.e., vergence) estimation, (b) vergence calibration, and (c) real-time 3D event detection that considers eye- and head-coupling. The new 3D calibration shows excellent error reduction in terms of Mean Squared Error (MSE).

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Procedia Computer Science
Publisher: Elsevier
Depositing User: Dr Chris Hughes
Date Deposited: 14 Oct 2022 06:47
Last Modified: 26 Oct 2022 13:00
URI: https://usir.salford.ac.uk/id/eprint/64866

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