Physiological sensing systems and AI-based signal analysis in immersive virtual reality learning and training: A scoping review
Wenxiang Zhou, Xiao Hu, Jeremy Tzi Dong Ng, Wei Wei, Mario Tortora, Mario Tortora, Mario Tortora · 2026
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Description
This scoping review examined research on physiological sensing systems and AI-based signal analysis in immersive virtual reality (IVR) learning. It compared studies in terms of physiological modalities, HMD integration, calibration and synchronization, artifact management, feature engineering and representation learning, fusion strategies, validation design, and deployment readiness. We searched for studies published between 2016 and 2026 and included 19 empirical studies.
Catalog record
| CREATOR | Wenxiang Zhou, Xiao Hu, Jeremy Tzi Dong Ng, Wei Wei, Mario Tortora, Mario Tortora, Mario Tortora |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 78 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |