Back to articles
Articles
Volume: 33 | Article ID: art00004
Image
Situational Awareness of COVID Pandemie data using Virtual Reality
  DOI :  10.2352/ISSN.2470-1173.2021.13.ERVR-177  Published OnlineJanuary 2021
Abstract

Situational awareness provides the decision making capability to identify, process, and comprehend big data. In our approach, situational awareness is achieved by integrating and analyzing multiple aspects of data using stacked bar graphs and geographic representations of the data. We provide a data visualization tool to represent COVID pandemic data on top of the geographical information. The combination of geospatial and temporal data provides the information needed to conduct situational analysis for the COVTD-19 pandemic. By providing interactivity, geographical maps can be viewed from different perspectives and offer insight into the dynamical aspects of the COVTD-19 pandemic for the fifty states in the USA. We have overlaid dynamic information on top of a geographical representation in an intuitive way for decision making. We describe how modeling and simulation of data increase situational awareness, especially when coupled with immersive virtual reality interaction. This paper presents an immersive virtual reality (VR environment and mobile environment for data visualization using Oculus Rift head-mounted display and smartphones. This work combines neural network predictions with human-centric situational awareness and data analytics to provide accurate, timely, and scientific strategies in combatting and mitigating the spread of the coronavirus pandemic. Testing and evaluation of the data visualization tool have been done with realtime feed of COVID pandemic data set for immersive environment, non-immersive environment, and mobile environment.

Subject Areas :
Views 128
Downloads 10
 articleview.views 128
 articleview.downloads 10
  Cite this article 

Sharad Sharma, Sri Teja Bodempudi, "Situational Awareness of COVID Pandemie data using Virtual Realityin Proc. IS&T Int’l. Symp. on Electronic Imaging: The Engineering Reality of Virtual Reality,  2021,  pp 177-1 - 177-6,  https://doi.org/10.2352/ISSN.2470-1173.2021.13.ERVR-177

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2021
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane Springfield, VA 22151 USA