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

Duchowski, A; Krejz, K; Volonte, M; Hughes, C; Brescia-Zapata, M; Orero, P

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Authors

A Duchowski

K Krejz

M Volonte

M Brescia-Zapata

P Orero



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).

Citation

Duchowski, A., Krejz, K., Volonte, M., Hughes, C., Brescia-Zapata, M., & Orero, P. (2022, September). 3D gaze in virtual reality: vergence, calibration, event detection. Presented at 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022), Verona, Italy

Presentation Conference Type Other
Conference Name 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022)
Conference Location Verona, Italy
Start Date Sep 7, 2022
End Date Sep 9, 2022
Acceptance Date May 24, 2022
Online Publication Date Oct 19, 2022
Publication Date Oct 19, 2022
Deposit Date Oct 14, 2022
Publicly Available Date Oct 26, 2022
Publisher URL https://doi.org/10.1016/j.procs.2022.09.221
Additional Information Event Type : Conference

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