Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysis
Comparing machine learning and deep learning models for classifying postural states in VR under visual perturbations suggests that multimodal sensing, temporal deep learning, and explainable AI can support reliable classification of balance-related instability in VR.
N. Anjum, M. Pavel, Robert Gonzalez et al.
· 0 citations