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Collaborative Mixed Reality Annotations System for Science and History Education Based on UWB Positioning and Low-Cost AR Glasses

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Extended Reality (XR Salento 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13446))

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Abstract

In this research, the authors designed a low-cost mixed reality (MR) collaborative annotations system for science and history education based on Ultra-wideband (UWB) communication technology. The position of the user is provided by the gyroscope in AR Glasses and the UWB antenna tag which is carried with users. The system is suitable for science education in developing countries that lack quality science teaching resources. It can provide comparably sized things or scenes that may be difficult to see clearly or do not exist in daily life for users to observe and experience. While using the system, the users can interact with each other. The system has some unique advantages, such as low-cost, accurate positioning in areas where GPS signal is weak, virtuality, and reality combination in large indoor spaces.

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Acknowledgements

The work is supported by National Social Science Foundation of China, under grand number: 21VSZ124.

This paper is also supported by Ministry of Education (China) Humanities and Social Sciences Research Foundation under Grant No.: 19A10358002.

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Authors and Affiliations

  1. Department of Communication of Science and Technology, University of Science and Technology of China, Hefei, Anhui, China

    YanXiang Zhang & LiTing Tang

Authors
  1. YanXiang Zhang
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  2. LiTing Tang
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Corresponding author

Correspondence to YanXiang Zhang .

Editor information

Editors and Affiliations

  1. University of Salento, Lecce, Italy

    Lucio Tommaso De Paolis

  2. Università di Napoli Federico II, Naples, Italy

    Pasquale Arpaia

  3. CNR-STIIMA, Lecco, Italy

    Marco Sacco

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Zhang, Y., Tang, L. (2022). Collaborative Mixed Reality Annotations System for Science and History Education Based on UWB Positioning and Low-Cost AR Glasses. In: De Paolis, L.T., Arpaia, P., Sacco, M. (eds) Extended Reality. XR Salento 2022. Lecture Notes in Computer Science, vol 13446. Springer, Cham. https://doi.org/10.1007/978-3-031-15553-6_12

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  • DOI: https://doi.org/10.1007/978-3-031-15553-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15552-9

  • Online ISBN: 978-3-031-15553-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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