WebVR based Interactive Visualization of Open Health Data

Hadjar, Hayet; Meziane, Abdelkrim; Gherbi, Rachid; Setitra, Insaf; Aouaa, Noureddine

doi:10.1145/3240431.3240442

Cited by 12 publications

(2 citation statements)

References 11 publications

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“…The authors included Med3D [42], an open source web-based 3D medical data visualization framework, and integrated volumetric raycasting of 3D scalar data. Hadjar et al [92] applied their WebVR approach to openly available health data from web portals. The WebVR-based system paired the A-Frame framework with Node.js, a low-level environment for executing JavaScript on server-side.…”

Section: Medical Applicationsmentioning

confidence: 99%

Modern Scientific Visualizations on the Web

Franke

Haehn

2020

Informatics

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Modern scientific visualization is web-based and uses emerging technology such as WebGL (Web Graphics Library) and WebGPU for three-dimensional computer graphics and WebXR for augmented and virtual reality devices. These technologies, paired with the accessibility of websites, potentially offer a user experience beyond traditional standalone visualization systems. We review the state-of-the-art of web-based scientific visualization and present an overview of existing methods categorized by application domain. As part of this analysis, we introduce the Scientific Visualization Future Readiness Score (SciVis FRS) to rank visualizations for a technology-driven disruptive tomorrow. We then summarize challenges, current state of the publication trend, future directions, and opportunities for this exciting research field.

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Section: Medical Applicationsmentioning

confidence: 99%

Modern Scientific Visualizations on the Web

Franke

Haehn

2020

Informatics

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“…Research in [19,20] for instance discusses some of the problems faced by developers in crafting effective and informative immersive web-based 3D visualizations. The combination of immersive analytics with the new WebXR API is fueling research in the field of data visualization, as it allows the VR analyst to better perceive some data difficult to understand using traditional techniques [21].…”

Section: Related Workmentioning

confidence: 99%

Encoding, Exchange and Manipulation of Captured Immersive VR Sessions for Learning Environments: the PRISMIN Framework

Fanini

Cinque

2020

Applied Sciences

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Capturing immersive VR sessions performed by remote learners using head-mounted displays (HMDs) may provide valuable insights on their interaction patterns, virtual scene saliency and spatial analysis. Large collected records can be exploited as transferable data for learning assessment, detect unexpected interactions or fine-tune immersive VR environments. Within the online learning segment, the exchange of such records among different peers over the network presents several challenges related to data transport and/or its decoding routines. In the presented work, we investigate applications of an image-based encoding model and its implemented architecture to capture users’ interactions performed during VR sessions. We present the PRISMIN framework and how the underneath image-based encoding can be exploited to exchange and manipulate captured VR sessions, comparing it to existing approaches. Qualitative and quantitative results are presented in order to assess the encoding model and the developed open-source framework.

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