arXiv (OAI Expanded)
open access
Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysis
Ensuring a safe virtual reality (VR) experience requires systems that can predict and respond when users lose their balance. Although prior work has examined fall prediction and motion sickness, many approaches are regression-based and postural state classification remains less explored. This study
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysis#793082
- Screening and Rehabilitation of Visual Field Defects in Post-Stroke Patients#1138034
- Randomized crossover study of immersive planning in craniomaxillofacial trauma comparing virtual reality and workstation workflows.#285290
- Effect of modeling subject-specific cortical folds on brain injury risk prediction under blunt impact loading.#298770
- Catching Virtual Throws. An Immersive Virtual Reality Setup to Evaluate Human Predictive Skills#657378
Record · ID 789078
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive