Adversarial Autoencoder and Multi-Armed Bandit for Dynamic Difficulty Adjustment in Immersive Virtual Reality for Rehabilitation: Application to Hand Movement.
- DOI
- 10.3390/s22124499
- Published
- 2022 Jun 14
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s22124499,
title = {Adversarial Autoencoder and Multi-Armed Bandit for Dynamic Difficulty Adjustment in Immersive Virtual Reality for Rehabilitation: Application to Hand Movement.},
author = {Kamikokuryo K and Haga T and Venture G and Hernandez V},
year = {2022},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s22124499},
url = {https://doi.org/10.3390/s22124499}
}RIS
TY - JOUR TI - Adversarial Autoencoder and Multi-Armed Bandit for Dynamic Difficulty Adjustment in Immersive Virtual Reality for Rehabilitation: Application to Hand Movement. AU - Kamikokuryo K AU - Haga T AU - Venture G AU - Hernandez V PY - 2022 JO - Sensors (Basel, Switzerland) DO - 10.3390/s22124499 UR - https://doi.org/10.3390/s22124499 ER -
APA
K, K., T, H., G, V., & V, H. (2022). Adversarial Autoencoder and Multi-Armed Bandit for Dynamic Difficulty Adjustment in Immersive Virtual Reality for Rehabilitation: Application to Hand Movement.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s22124499
Source records
- pubmed · retrieved 2026-09-25T13:20:09.969Z