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Kuramoto, A., Mizukoshi, K., Nakashima, M.: Monocular camera-based 3d human body pose estimation by generative adversarial network considering joint range of motion represented by quaternion. Wang, J., Chai, X., Han, G., et al.: Generating 3d virtual human animation based on facial expression and human posture captured by dual cameras. Qin, W., Tao, R., Sun, L., et al.: Muscle-driven virtual human motion generation approach based on deep reinforcement learning. He, X., Jin, X., Zheng, J.: Research on virtual human motion control based on computer-assisted multimedia simulation. Wang, S.S., Qi, Y.Q.: A virtual human’s driving method based on motion capture data. Kyrlitsias, C., Michael-Grigoriou, D.: Social interaction with agents and avatars in immersive virtual environments: a survey. Maddalon, L., Minissi, M.E., Torres, S.C., et al.: Virtual humans for ASD intervention: a brief scoping review. Wen, J., Gheisari, M.: iVisit-communicate for AEC education: Using virtual humans to practice communication skills in 360-degree virtual field trips. 71, 132–153 (2018)įears, N.E., Templin, T.N., Sherrod, G.M., et al.: Autistic children use less efficient goal-directed whole body movementscompared to neurotypical development. Preim, B., Saalfeld, P.: A survey of virtual human anatomy education systems. 1–6 (2019)Ĭonsorti, F., Mancuso, R., Nocioni, M., et al.: Efficacy of virtual patients in medical education: a meta-analysis of randomized studies. In: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, pp. Ma, T., Sharifi, H., Chattopadhyay, D.: Virtual humans in health-related interventions: a meta-analysis. Parsons, S., Mitchell, P.: The potential of virtual reality in social skills training for people with autistic spectrum disorders. Grynszpan, O., Bouteiller, J., Grynszpan, S., et al.: Social gaze training for autism spectrum disorder using eye-tracking and virtual humans. Shimada, S., Golyanik, V., Xu, W., et al.: Neural monocular 3d human motion capture with physical awareness. Shimada, S., Golyanik, V., Xu, W., et al.: Physcap: physically plausible monocular 3d motion capture in real time. Zhao, J., Zhang, X., Lu, Y., et al.: Virtual reality technology enhances the cognitive and social communication of children with autism spectrum disorder. García, A.S., Fernández-Sotos, P., González, P., et al.: Behavioral intention of mental health practitioners toward the adoption of virtual humans in affect recognition training. Zaini, N.A., Noor, S.F.M., Wook, T.S.M.T.: The model of game-based learning in fire safety for preschool children. In: Disability and Rehabilitation: Assistive Technology, pp. Ke, F., Moon, J., Sokolikj, Z.: Designing and deploying a virtual social sandbox for autistic children. Luo, Y.X., Li, Q., Jiang, L.R., et al.: Analysis of Chinese fire statistics during the period 1997–2017. Morélot, S., Garrigou, A., Dedieu, J., et al.: Virtual reality for fire safety training: influence of immersion and sense of presence on conceptual and procedural acquisition. Maksimović, S., Marisavljević, M., Stanojević, N., et al.: Importance of early intervention in reducing autistic symptoms and speech-language deficits in children with autism spectrum disorder. Miller, L.E., Dai, Y.G., Fein, D.A., et al.: Characteristics of toddlers with early versus later diagnosis of autism spectrum disorder. Senthilkumaran, M., Nazari, G., MacDermid, J.C., et al.: Effectiveness of home fire safety interventions. National police and fire situation in 2022. We counted the number of movements and the number of movements captured by the system for all participants in the fire training and showed that the system’s motion capture accuracy was over 90%. By evaluating the Mean Penetration Error (MPE) and the Percentage Not Penetrated (PNP) it was shown that the pose estimation algorithm achieved higher accuracy with only 6.4% foot penetration. To enhance the realism of virtual humans in the fire education system, this paper improves the 3D pose estimation method and proposes a multi-physical factor pose estimation algorithm. The results show that this approach effectively enhances the fire safety skills of children with autism. ![]() ![]() To train the fire safety skills of children with autism, this paper proposes the application of highly realistic virtual humans in a fire education system, aiming to improve their fire safety skills. Virtual humans can offer diverse presentation forms and interact with children with autism, thus better stimulating their willingness to participate. Fire is one of the most common and dangerous disaster in real life, making it essential to provide children with appropriate prevention and response education. Children with autism face challenges in areas like language and social skills, which hinder their ability to undergo regular fire training.
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