Abstract
Firefighting is a physically demanding task that requires extensive training. With the rising risks of global warming and its evident effects on spawning bush fire, there is an increasing need for recruiting new fire fighters. This imposes an unprecedented challenge of fast-tracking training procedures, especially in rural environments where most bush fires occur. Additionally, the current manual training procedures do not take into consideration the immersion factor, without which a novice fire fighter may be overwhelmed when facing a bush fire for the first time. This challenge has motivated us to harness the power of virtual reality and develop a portable firefighting training system. The developed firefighting training system, presented in this paper, is haptically enabled to allow the trainees to experience the jet reaction forces from the hose. The system also features realistic water dispersion and interaction with fire and smoke particles via accurate particle physics modelling.
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References
Yuan, D., Jin, X., Zhang, X.: Building a immersive environment for firefighting tactical training. In: Proceedings of 2012 9th IEEE International Conference on Networking, Sensing and Control, April 2012, pp. 307–309
Tate, D.L., Sibert, L., King, T.: Virtual environments for shipboard firefighting training. In: Proceedings of IEEE 1997 Annual International Symposium on Virtual Reality, March 1997, pp. 61–68
Lawson, W., Sullivan, K., Narber, C., Bekele, E., Hiatt, L.M.: Touch recognition and learning from demonstration (lfd) for collaborative human-robot firefighting teams. In: 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), August 2016, pp. 994–999
Vichitvejpaisal, P., Yamee, N., Marsertsri, P.: Firefighting simulation on virtual reality platform. In: 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE), July 2016, pp. 1–5
Wei, L., Zhou, H., Nahavandi, S.: Haptically enabled simulation system for firearm shooting training. Virtual Real., June 2018. https://doi.org/10.1007/s10055-018-0349-0
Wei, L., Zhou, H., Nahavandi, S.: Haptic collision detection on disjoint objects with overlapping and inclusive bounding volumes. IEEE Trans. Haptics 11(1), 73–84 (2018)
Wei, L., Zhou, H., Nahavandi, S., Wang, D.: Toward a future with human hands-like haptics: a universal framework for interfacing existing and future multipoint haptic devices. IEEE Syst. Man Cybern. Mag. 2(1), 14–25 (2016)
Wei, L., Sourin, A.: Function-based approach to mixed haptic effects rendering. Vis. Comput. 27(4), 321–332 (2011). https://doi.org/10.1007/s00371-011-0548-0
Wei, L., Najdovski, Z., Zhou, H., Deshpande, S., Nahavandi, S.: Extending support to customised multi-point haptic devices in chai3d. In: 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 2014, pp. 1864–1867
Covaciu, F., Pisla, A., Carbone, G., Puskas, F., Vaida, C., Pisla, D.: Vr interface for cooperative robots applied in dynamic environments. In: 2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), May 2018, pp. 1–6
Gommlich, F., Heumer, G., Vitzthum, A., Jung, B.: Simulation of standard control actuators in dynamic virtual environments. In: 2009 IEEE Virtual Reality Conference, March 2009, pp. 269–270
Ryge, A., Thomsen, L., Berthelsen, T., Hvass, J.S., Koreska, L., Vollmers, C., Nilsson, N.C., Nordahl, R., Serafin, S.: Effect on high versus low fidelity haptic feedback in a virtual reality baseball simulation. In: 2017 IEEE Virtual Reality (VR), March 2017, pp. 365–366
McMahan, R.P., Bowman, D.A., Zielinski, D.J., Brady, R.B.: Evaluating display fidelity and interaction fidelity in a virtual reality game. IEEE Trans. Vis. Comput. Graphics 18(4), 626–633 (2012)
Lamata, P., Gomez, E.J., Bello, F., Kneebone, R.L., Aggarwal, R., Lamata, F.: Conceptual framework for laparoscopic vr simulators. IEEE Comput. Graph. Appl. 26(6), 69–79 (2006)
Acknowledgment
This research was fully supported by the Institute for Intelligent Systems Research and Innovation (IISRI) at Deakin University.
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Nahavandi, S. et al. (2019). Haptically-Enabled VR-Based Immersive Fire Fighting Training Simulator. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Intelligent Computing. CompCom 2019. Advances in Intelligent Systems and Computing, vol 997. Springer, Cham. https://doi.org/10.1007/978-3-030-22871-2_2
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DOI: https://doi.org/10.1007/978-3-030-22871-2_2
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