Never 'Drop the Ball' in the Operating Room: An efficient hand-based VR HMD controller interpolation algorithm, for collaborative, networked virtual environments
Manos Kamarianakis, Nick Lydatakis, George Papagiannakis

TL;DR
This paper introduces two novel algorithms using dual-quaternions and multivectors for efficient hand movement interpolation in networked VR environments, reducing network load and improving multi-user experiences.
Contribution
It presents new interpolation algorithms for VR hand controllers that optimize network usage in collaborative virtual environments.
Findings
Significant reduction in network data transmission.
Effective in multi-user medical VR training scenarios.
Demonstrated improved performance in a game engine.
Abstract
In this work, we propose two algorithms that can be applied in the context of a networked virtual environment to efficiently handle the interpolation of displacement data for hand-based VR HMDs. Our algorithms, based on the use of dual-quaternions and multivectors respectively, impact the network consumption rate and are highly effective in scenarios involving multiple users. We illustrate convincing results in a modern game engine and a medical VR collaborative training scenario.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
