SmartSimVR: An Architecture Integrating Machine Learning and Virtual Environment for Real-Time Simulation Adaptation - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

SmartSimVR: An Architecture Integrating Machine Learning and Virtual Environment for Real-Time Simulation Adaptation

Résumé

This paper introduces SmartSimVR, a ground-breaking research initiative focused on the development of a user-specific intelligent architecture for immersive virtual environments. The primary objective of this architecture is to address real-time artificial intelligence training and adapt the virtual environment based on the user's state or external parameters. In a case study centered around the detection of cybersickness, an undesirable side effect in immersive virtual environments, we employed this architecture in a driving simulator application. Leveraging the capabilities of this architecture enables the optimization of virtual reality experiences for individual users, resulting in increased comfort.
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Dates et versions

hal-04624582 , version 1 (25-06-2024)

Identifiants

Citer

Azadeh Hadadi, Jean-Rémy Chardonnet, Christophe Guillet, Jivka Ovtcharova. SmartSimVR: An Architecture Integrating Machine Learning and Virtual Environment for Real-Time Simulation Adaptation. 2024 10th International Conference on Automation, Robotics and Applications (ICARA), Feb 2024, Athènes, Greece. pp.531-535, ⟨10.1109/icara60736.2024.10553156⟩. ⟨hal-04624582⟩
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