Classifying mental stress from eye tracking data: deep learning approaches for out-of-the-lab conditions.
- DOI
- 10.1038/s41598-026-58429-7
- Published
- 2026 Jun 20
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-58429-7,
title = {Classifying mental stress from eye tracking data: deep learning approaches for out-of-the-lab conditions.},
author = {Laut M and Dorschky E and Richer R and Rohleder N and Eskofier BM},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-58429-7},
url = {https://doi.org/10.1038/s41598-026-58429-7}
}RIS
TY - JOUR TI - Classifying mental stress from eye tracking data: deep learning approaches for out-of-the-lab conditions. AU - Laut M AU - Dorschky E AU - Richer R AU - Rohleder N AU - Eskofier BM PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-58429-7 UR - https://doi.org/10.1038/s41598-026-58429-7 ER -
APA
M, L., E, D., R, R., N, R., & BM, E. (2026). Classifying mental stress from eye tracking data: deep learning approaches for out-of-the-lab conditions.. Scientific reports. https://doi.org/10.1038/s41598-026-58429-7
Source records
- pubmed · retrieved 2026-09-26T20:51:10.961Z