Biomarkers of Immersion in Virtual Reality Based on Features Extracted from the EEG Signals: A Machine Learning Approach
- DOI
- 10.3390/brainsci14050470
- Published
- 2024-05-07
- Container
- Brain Sciences
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/brainsci14050470,
title = {Biomarkers of Immersion in Virtual Reality Based on Features Extracted from the EEG Signals: A Machine Learning Approach},
author = {Hamed Tadayyoni and Michael S. Ramirez Campos and Alvaro Joffre Uribe Quevedo and Bernadette A. Murphy},
year = {2024},
journal = {Brain Sciences},
doi = {10.3390/brainsci14050470},
url = {https://doi.org/10.3390/brainsci14050470}
}RIS
TY - JOUR TI - Biomarkers of Immersion in Virtual Reality Based on Features Extracted from the EEG Signals: A Machine Learning Approach AU - Hamed Tadayyoni AU - Michael S. Ramirez Campos AU - Alvaro Joffre Uribe Quevedo AU - Bernadette A. Murphy PY - 2024 JO - Brain Sciences DO - 10.3390/brainsci14050470 UR - https://doi.org/10.3390/brainsci14050470 ER -
APA
Tadayyoni, H., Campos, M. S. R., Quevedo, A. J. U., & Murphy, B. A. (2024). Biomarkers of Immersion in Virtual Reality Based on Features Extracted from the EEG Signals: A Machine Learning Approach. Brain Sciences. https://doi.org/10.3390/brainsci14050470
Source records
- crossref · retrieved 2026-09-27T02:49:07.885Z