Novel approach for ergonomic assessment of musculoskeletal risks for OHS in high-demand and complex manual tasks − case study of polishing industry
• Ergonomic assessment using a sensorless AI software application. • Workers face medium WMSD risk (88.3%), increasing slightly throughout the day. • Women show higher WMSD risk than men, especially by the end of the workday. • WMSD risk rises with age, with older workers showing high and very high risks. • Significant correlations between age and musculoskeletal symptoms and risks.
Authors
- Tânia M. Lima (ORCID: https://orcid.org/0000-0002-7540-3854)
- Pedro Dinis Gaspar (ORCID: https://orcid.org/0000-0003-1691-1709)
- Joel Alves
Institutions
- University of Beira Interior (PT)
Publication Details
- Journal
- Safety Science
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1016/j.ssci.2025.106969
- Citations
- 1
- Primary Topic
- Musculoskeletal pain and rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Fundação para a Ciência e a Tecnologia