Abstract
Fires, regardless of whether they are small or huge, can have a profound effect on anyone, especially children. They can cause not only some serious physical harm but also could lead to long-term psychological trauma to them. The old-fashioned training ways, either tutorials or a real fire simulation cannot be suitable for children. In this paper, a new fire safety training system based on using virtual reality (VR) and machine learning for training children how to deal with fire is proposed. The proposed system consists of two main parts working in parallel, the first part is called the VR simulator, and the second part is called the Non-Player Character (NPC) recommendation system. Two well-known machine learning algorithms are used and evaluated. These algorithms are support vector machine (SVM) and neural networks. The experimental results revealed SVM with polynomial obtained the best result. The proposed system obtained overall accuracy of 90.8%, precision of 90.7%, recall of 90.8%, and f-score of 90.7%.
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Ali, Y.W., Abdel-Basset, M.K., Ghaly, M.T., Amin, L.A., Mousa, A.A., Sayed, G.I. (2023). Enhancing Children's Fire Safety Skills with Machine Learning-Powered Virtual Reality Training System. In: Hassanien, A., Rizk, R.Y., Pamucar, D., Darwish, A., Chang, KC. (eds) Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023. AISI 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-031-43247-7_47
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DOI: https://doi.org/10.1007/978-3-031-43247-7_47
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