Head Rotation Model for Virtual Reality System Level Simulations
Document Type
Conference Proceeding
Publication Date
1-1-2021
Abstract
Virtual Reality (VR) promises immersive experiences in diverse areas such as gaming, entertainment, education, healthcare, and remote monitoring. In VR environments, users can navigate 360-degree content by moving or looking around in all directions, by rotating their heads, as in real life. A rapid head rotation can corrupt the wireless link, degrading the user experience. Due to the lack of proper head rotation models, testbeds are usually required to analyze VR systems. In this paper, we propose an open source code package that generates realistic head rotation traces. The code package is based on a simple, yet flexible, time-correlated mathematical model, which is extrapolated from a publicly available VR head rotation measurement-based dataset. We show that the probability density function of head rotation pitch and roll angles can be modeled as Gaussian distributions, while the probability density function of yaw angles can be modeled as a Gaussian mixture distribution. To introduce temporal correlation, we extrapolate the power spectral density of the angular processes, which are modeled with a bi-exponential decay. Finally, we show how the model can support and accelerate the design of future VR systems by proposing the analysis of a distributed Multiple Input Multiple Output (MIMO) system and the design of a situational awareness Machine Learning (ML) based beamforming training for millimeter wave networks.
Identifier
85125018429 (Scopus)
ISBN
[9781665437349]
Publication Title
Proceedings 23rd IEEE International Symposium on Multimedia Ism 2021
External Full Text Location
https://doi.org/10.1109/ISM52913.2021.00016
First Page
43
Last Page
49
Grant
CCF-1528030
Fund Ref
National Science Foundation
Recommended Citation
Blandino, Steve; Ropitault, Tanguy; Caromi, Raied; Chakareski, Jacob; Khan, Mahmudur; and Golmie, Nada, "Head Rotation Model for Virtual Reality System Level Simulations" (2021). Faculty Publications. 4609.
https://digitalcommons.njit.edu/fac_pubs/4609
