Gaze Analysis and Prediction in Virtual Reality
Zhiming Hu
Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, pp. 543–544, 2020.
Abstract
In virtual reality (VR) systems, users’ gaze information has gained importance in recent years. It can be applied to many aspects, including VR content design, eye-movement based interaction, gaze-contingent rendering, etc. In this context, it becomes increasingly important to understand users’ gaze behaviors in virtual reality and to predict users’ gaze positions. This paper presents research in gaze behavior analysis and gaze position prediction in virtual reality. Specifically, this paper focuses on static virtual scenes and dynamic virtual scenes under free-viewing conditions. Users’ gaze data in virtual scenes are collected and statistical analysis is performed on the recorded data. The analysis reveals that users’ gaze positions are correlated with their head rotation velocities and the salient regions of the content. In dynamic scenes, users’ gaze positions also have strong correlations with the positions of dynamic objects. A data-driven eye-head coordination model is proposed for realtime gaze prediction in static scenes and a CNN-based model is derived for predicting gaze positions in dynamic scenes.Links
doi: 10.1109/VRW50115.2020.00123
Paper: hu20_cvr.pdf
BibTeX
@inproceedings{hu20_cvr,
author = {Hu, Zhiming},
title = {Gaze Analysis and Prediction in Virtual Reality},
booktitle = {Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops},
year = {2020},
pages = {543--544},
doi = {10.1109/VRW50115.2020.00123}
}
