Supporting Ergonomic Risk Assessment: An AI-driven Approach for Action Recognition Using Standard Video Recordings
- DOI
- 10.23749/mdl.2026.18921
- Published
- 2026-10-23
- Container
- La Medicina del Lavoro
- Publisher
- Mattioli1885
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.23749/mdl.2026.18921,
title = {Supporting Ergonomic Risk Assessment: An AI-driven Approach for Action Recognition Using Standard Video Recordings},
author = {Beatrice Doro and Francesco Favro and Francesca Zen and Valentina Bullo and Stefano Mattioli and Nicolò Navarin and Stefano Gobbo and Marco Bergamin},
year = {2026},
journal = {La Medicina del Lavoro},
doi = {10.23749/mdl.2026.18921},
url = {https://doi.org/10.23749/mdl.2026.18921}
}RIS
TY - JOUR TI - Supporting Ergonomic Risk Assessment: An AI-driven Approach for Action Recognition Using Standard Video Recordings AU - Beatrice Doro AU - Francesco Favro AU - Francesca Zen AU - Valentina Bullo AU - Stefano Mattioli AU - Nicolò Navarin AU - Stefano Gobbo AU - Marco Bergamin PY - 2026 JO - La Medicina del Lavoro DO - 10.23749/mdl.2026.18921 UR - https://doi.org/10.23749/mdl.2026.18921 ER -
APA
Doro, B., Favro, F., Zen, F., Bullo, V., Mattioli, S., Navarin, N., Gobbo, S., & Bergamin, M. (2026). Supporting Ergonomic Risk Assessment: An AI-driven Approach for Action Recognition Using Standard Video Recordings. La Medicina del Lavoro. https://doi.org/10.23749/mdl.2026.18921
Source records
- crossref · retrieved 2026-11-09T01:19:16.567Z