Never 'Drop the Ball' in the Operating Room: An efficient hand-based VR HMD controller interpolation algorithm, for collaborative, networked virtual environments
This work addresses network efficiency for collaborative VR training, particularly in medical settings, but appears incremental as it builds on existing interpolation methods.
The paper tackled the problem of efficiently interpolating hand-based VR HMD controller data in networked virtual environments, proposing two algorithms based on dual-quaternions and multivectors that reduce network consumption rates and are effective in multi-user scenarios, with results demonstrated in a game engine and medical VR training.
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.