PC VR vs Standalone VR Fully-Immersive Applications: History, Technical Aspects and Performance

Rendevski, Nikola and Trajcevska, Diana and Dimovski, Mario and Veljanovski, Konstantin and Popov, Aleksandar and Emini, Naile and Veljanovski, Dimitar (2022) PC VR vs Standalone VR Fully-Immersive Applications: History, Technical Aspects and Performance. In: 2022 57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), Ohrid, Republic of North Macedonia.

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It is well known that Virtual Reality technology has the potential to immerse the user in virtual real-life scenarios with solid interaction capabilities. However, most of the mission-oriented application scenarios require complex interaction capabilities and feature-rich virtual environments which certainly require processing power. It is a fact that a modern higher-performance PCs can render the 2D and 3D assets in the VR space with higher quality allowing large polygon numbers, greater shadows, post-processing, and other advantages in comparison with the standalone VR headset. From the other side, the PCVR is significantly affecting the mobility, price and development complexity. In this paper, we are focusing on the analyses of the technical aspects of PC VR and Standalone Fully-Immersive VR applications, their characteristics and performance evaluation of real VR application realized as PC VR and Standalone VR. As a conclusion, we prove that acceptable performance and user experience can be achieved with proper and simple optimization for Standalone VR without significantly affecting the VR application usability and tracking accuracy.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Virtual Reality, PCVR, Standalone VR
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions: Faculty of Information and Communication Technologies
Depositing User: Prof. d-r. Nikola Rendevski
Date Deposited: 03 Aug 2022 13:14
Last Modified: 03 Aug 2022 13:14
URI: https://eprints.uklo.edu.mk/id/eprint/7014

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