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Automated Generation of Digital Twin in Virtual Reality for Interaction with Specific Nature Ecosystem

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13309))

Abstract

This paper analyses the most suitable technological approaches to design a workflow and develop a virtual reality system - BogSim-VR, to run real time simulations for bog ecosystems (ecological systems) or peatlands in different countries and regions. Currently few technologies reflect data in an understandable way. There is also no suitable system that allows for different human actions and the visualization of consequences. Virtual reality technologies can address this problem. The BogSim-VR system is adaptable to any bog ecosystem thus creating a digital twin for experimenting with various interactions in a replicated environment.

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Acknowledgements

This work is research project funded by Latvian Council of Science, project number: lzp-2020/2-0396. Project name: Visualization of real-time bog hydrological regime and simulation data in virtual reality. Research activities took place at the Faculty of Engineering at Vidzeme University of Applied Sciences, and specifically, in the Virtual Reality Technologies laboratory (ViA VR-Lab). The laboratory was established in 2009 in cooperation with the Fraunhofer Institute Virtual Reality Training and Development Centre (Magdeburg, Germany) and the University of Agder (Kristiansand, Norway), pointing to its long history and years of experience. The activities of the ViA VR-Lab include industry training, urban planning, interactive study tools and equipment in medicine, visualization solutions in logistics, tourism and history, entertaining educational environments, marketing and product demonstration.

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Correspondence to Lauris Taube or Zintis Erics .

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Cirulis, A., Taube, L., Erics, Z. (2022). Automated Generation of Digital Twin in Virtual Reality for Interaction with Specific Nature Ecosystem. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. User and Context Diversity. HCII 2022. Lecture Notes in Computer Science, vol 13309. Springer, Cham. https://doi.org/10.1007/978-3-031-05039-8_13

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  • DOI: https://doi.org/10.1007/978-3-031-05039-8_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05038-1

  • Online ISBN: 978-3-031-05039-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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