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Transactions on Edutainment XVI pp 126–134Cite as

A Virtual Reality Training System for Flood Security

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Part of the book series: Lecture Notes in Computer Science ((TEDUTAIN,volume 11782))

Abstract

As we can see in the real world, there are frequent public security accidents (earthquake, fire, virus, and flood) in the past years. When the ordinary people are facing the flood disaster, they often do not know how to avoid danger and save themselves. By using the most advanced VR technology, we can popularize public safety knowledge, and improve public security awareness. This paper first describes the related works in flood simulation modeling, VR training, and interacting techniques in VR systems. Then it discusses the implementation of a virtual training system for flood security education based on Unity3D engine which is widely used for the time being. The users can not only experience the horror of public safety disasters in the virtual world, but also learn how to save himself in the event of flood disasters in the virtual environment.

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References

  1. Huang, X., Bai, H.: Risk prediction of rural public security environmental carrying capacity based on the risk entropy. Nat. Hazards 90(1), 157–171 (2018)

    Article  Google Scholar 

  2. Pan, Z., Chen, J.: VR-based edutainment. Virtual Real. 12(1), 1 (2008)

    Article  Google Scholar 

  3. Pan, Z., Zong, Y.: Virtual training and experience system for public security education. In: Pan, Z., Cheok, A.D., Müller, W., Zhang, M., El Rhalibi, A., Kifayat, K. (eds.) Transactions on Edutainment XV. LNCS, vol. 11345, pp. 229–237. Springer, Heidelberg (2019). https://doi.org/10.1007/978-3-662-59351-6_15

    Chapter  Google Scholar 

  4. Fischbach, M., Wiebusch, D., et al.: Semantic entity-component state management techniques to enhance software quality for multimodal VR-systems. IEEE Trans. Vis. Comput. Graph. (2017). https://doi.org/10.1109/TVCG.2017.265709

    Article  Google Scholar 

  5. Wachs, J.P., Kelsch, M., Stern, H.: Vision-based hand-gesture applications. Commun. ACM 54(2), 60–71 (2011)

    Article  Google Scholar 

  6. Ibraheem, N.A., Khan, R.: Survey on various gesture recognition technologies & techniques. Int. J. Comput. Appl. 50(7), 38–44 (2012)

    Google Scholar 

  7. Lee, B., Chun, J.: Manipulation of virtual objects in marker-less AR system by fingertip tracking & hand gesture recognition. In: Proceedings of the 2nd International Conference on Interaction Science, pp. 1110–1115. ACM, Seoul (2009)

    Google Scholar 

  8. Guo, S., Zhang, M., Pan, Z., Sun, M.: Gesture recognition based on pixel classification and contour extraction. In: Proceedings of International Conference on Virtual Reality & Visualization, 01 October 2015

    Google Scholar 

  9. Garg, P., Aggarwal, N., Sofat, S.: Vision based hand gesture recognition. World Acad. Sci. Eng. Technol. 49, 972–977 (2009)

    Google Scholar 

  10. Pratibha, P., Vinay, J.: Hand gesture recognition for sign language recognition: a review. Int. J. Sci. Eng. Technol. Res. (IJSETR) 4(3), 466–467 (2015)

    Google Scholar 

  11. Lamberti, L., Camastra, F.: Real-time hand gesture recognition using a color glove. In: Maino, G., Foresti, G.L. (eds.) ICIAP 2011. LNCS, vol. 6978, pp. 365–373. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24085-0_38

    Chapter  Google Scholar 

  12. Dhruva, N., et al.: Novel segmentation algorithm for hand gesture recognition. IEEE, pp. 383–388 (2013)

    Google Scholar 

  13. Ren, Z., Yuan, J., Meng, J., Zhang, Z.: Robust part-based hand gesture recognition using kinect sensor. IEEE Trans. Multimed. 15(5), 1110–1120 (2013)

    Article  Google Scholar 

  14. Zundel, A.K.: Flood modeling simulation management. Technical report, Brigham Young University (2006)

    Google Scholar 

  15. Syme, W.J.: Dynamically linked two dimensional/one dimensional hydrodynamic modelling program for rivers, estuaries and coastal waters. M.Eng.Sc. thesis, University of Queensland (1991)

    Google Scholar 

  16. WBM Pty Ltd. TUFLOW users manual. WBM Oceanics, Australia (2005). http://www.tuflow.com/Downloads_TUFLOWManual.html

  17. Lee, H.-J., Hong, S.-H.: Flood simulation by using high quality geo-spatial information. J. Korean Soc. Geospatial Inf. Syst. 18(3), 97–104 (2010)

    MathSciNet  Google Scholar 

  18. Gaudiani, A., Luque, E., García, P., et al.: Computing a powerful tool for improving the parameters simulation quality in flood prediction. Procedia Comput. Sci. 29, 299–309 (2014)

    Article  Google Scholar 

Download references

Acknowledgments

This research is supported by the project of the Bureau of Water Science & Technology in Zheijiang Province (grant number: RC1970). Also, we acknowledge the support of the Guangzhou Innovation and Entrepreneurship Leading Team Project under grant CXLJTD-201609.

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Authors and Affiliations

  1. Zhejiang Tongji Vocational College of Science and Technology, Hangzhou, China

    Rui Dai & Zizhen Fan

  2. NINED Digital Technology Co., Ltd., Guangzhou, 510000, China

    Zhigeng Pan

  3. Guangdong Academy of Research on VR Industry, Foshan University, Foshan, China

    Zhigeng Pan

Authors
  1. Rui Dai
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  2. Zizhen Fan
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  3. Zhigeng Pan
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Corresponding author

Correspondence to Zhigeng Pan .

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Editors and Affiliations

  1. Hangzhou Normal University, Hangzhou, China

    Zhigeng Pan

  2. Imagineering Institute, Nusajaya, Malaysia

    Adrian David Cheok

  3. University of Education, Weingarten, Germany

    Wolfgang Müller

  4. Zhejiang University, Hangzhou, China

    Mingmin Zhang

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Dai, R., Fan, Z., Pan, Z. (2020). A Virtual Reality Training System for Flood Security. In: Pan, Z., Cheok, A., Müller, W., Zhang, M. (eds) Transactions on Edutainment XVI. Lecture Notes in Computer Science(), vol 11782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-61510-2_12

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  • DOI: https://doi.org/10.1007/978-3-662-61510-2_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-61509-6

  • Online ISBN: 978-3-662-61510-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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