Immersive Visualization of Sneeze Simulation Data on Mobile Devices


Journal article


Liangding Li, D. Fontes, Carsten Neumann, M. Kinzel, D. Reiners, C. Cruz-Neira
2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2022

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APA   Click to copy
Li, L., Fontes, D., Neumann, C., Kinzel, M., Reiners, D., & Cruz-Neira, C. (2022). Immersive Visualization of Sneeze Simulation Data on Mobile Devices. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).


Chicago/Turabian   Click to copy
Li, Liangding, D. Fontes, Carsten Neumann, M. Kinzel, D. Reiners, and C. Cruz-Neira. “Immersive Visualization of Sneeze Simulation Data on Mobile Devices.” 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (2022).


MLA   Click to copy
Li, Liangding, et al. “Immersive Visualization of Sneeze Simulation Data on Mobile Devices.” 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2022.


BibTeX   Click to copy

@article{liangding2022a,
  title = {Immersive Visualization of Sneeze Simulation Data on Mobile Devices},
  year = {2022},
  journal = {2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)},
  author = {Li, Liangding and Fontes, D. and Neumann, Carsten and Kinzel, M. and Reiners, D. and Cruz-Neira, C.}
}

Abstract

One key factor in stopping the spread of COVID-19 is practicing social distancing. Visualizing possible sneeze droplets' transmission routes in front of an infected person might be an effective way to help people understand the importance of social distancing. This paper presents a mobile virtual reality (VR) interface that helps people visualize droplet dispersion from the target person's view. We implemented a VR application to visualize and interact with the sneeze simulation data immersively. Our application provides an easy way to communicate the correlation between social distance and infected droplets exposure, which is difficult to achieve in the real world.