Abstract
This paper presents a cross-disciplinary research of artificial intelligence (AI) and virtual reality (VR) that presents a real application of an aircraft door operation training conducted in an immersive virtual environment. In the context of the study, AI takes an imperative role in distinguishing misbehaviour of trainees such as inappropriate steps and positions in the virtual training environment that mimics a real training scenario. Trainee’s behaviours are detected by the classical Dendritic Cell Algorithm (DCA) which is a signal-based classification approach that is inspired from the segmented detection and interaction with the signal molecules mechanisms of the human dendritic cells. The resulted approach demonstrated accurate detection and classification processes that are evidence in the experimental studies. This position paper also reveals the ability of the DCA method in human behaviour detection/classification in a dynamic environment.
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Lee, N.M.Y., Lau, H.Y.K., Wong, R.H.K., Tam, W.W.L., Chan, L.K.Y. (2016). Dendritic Cells for Behaviour Detection in Immersive Virtual Reality Training. In: Bramer, M., Petridis, M. (eds) Research and Development in Intelligent Systems XXXIII. SGAI 2016. Springer, Cham. https://doi.org/10.1007/978-3-319-47175-4_27
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DOI: https://doi.org/10.1007/978-3-319-47175-4_27
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