Situational Awareness of COVID Pandemie data using Virtual Reality

Situational Awareness of COVID Pandemie data using Virtual Reality
复制标题

使用虚拟现实对新冠肺炎大流行数据进行态势感知

DOI：
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发表时间：
2021
期刊：
The Engineering Reality of Virtual Reality
影响因子：
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通讯作者：
S. Bodempudi
S. Bodempudi
中科院分区：
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文献类型：
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作者：
Sharad Sharma;S. Bodempudi

文献摘要

被引文献

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态势感知提供了识别、处理和理解大数据的决策能力。在我们的方法中，态势感知是通过使用数据的堆叠条形图和地理表示来集成和分析数据的多个方面来实现的。 我们提供了一个数据可视化工具，在地理信息的基础上表示COVID大流行数据。地理空间和时间数据的结合提供了对COVTD-19大流行进行形势分析所需的信息。通过提供互动性、地理位置 地图可以从不同的角度查看，并为美国50个州提供对COVTD-19大流行的动态方面的洞察。我们以一种直观的方式将动态信息覆盖在地理表示的顶部，以进行决策。我们描述了建模如何 数据模拟增强了态势感知，特别是在与身临其境的虚拟现实交互相结合时。介绍了一种利用Oculus Rift头盔显示器和智能手机实现数据可视化的沉浸式虚拟现实(VR)环境和移动环境。 这项工作将神经网络预测与以人为中心的情况感知和数据分析相结合，为抗击和减缓冠状病毒大流行的传播提供准确、及时和科学的战略。对数据可视化工具进行了测试和评估 使用沉浸式环境、非沉浸式环境和移动环境的COVID流行数据集的实时馈送。
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.