Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning
- DOI
- 10.3389/frvir.2026.1743491
- Published
- 2025-09-10T12:38:21Z
- Container
- Frontiers in Virtual Reality, 2026
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/frvir.2026.1743491,
title = {Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning},
author = {Lukas Schach and Christian Rack and Ryan P. McMahan and Marc Erich Latoschik},
year = {2025},
journal = {Frontiers in Virtual Reality, 2026},
doi = {10.3389/frvir.2026.1743491},
url = {https://doi.org/10.3389/frvir.2026.1743491}
}RIS
TY - JOUR TI - Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning AU - Lukas Schach AU - Christian Rack AU - Ryan P. McMahan AU - Marc Erich Latoschik PY - 2025 JO - Frontiers in Virtual Reality, 2026 DO - 10.3389/frvir.2026.1743491 UR - https://doi.org/10.3389/frvir.2026.1743491 ER -
APA
Schach, L., Rack, C., McMahan, R. P., & Latoschik, M. E. (2025). Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning. Frontiers in Virtual Reality, 2026. https://doi.org/10.3389/frvir.2026.1743491
Source records
- arxiv · retrieved 2026-11-10T20:07:41.249Z