RULA, REBA and OWAS real-time software model in an academic environment

Authors

  • Leonardo Alexis Atachagua Valencia UNIVERSIDAD NACIONAL MAYOR DE SAN MARCOS, Perú
  • Mariel Antonella Huarancca Chilquillo UNIVERSIDAD NACIONAL MAYOR DE SAN MARCOS, Perú
  • Adriano Fabrisio Castillo Huayanay UNIVERSIDAD NACIONAL MAYOR DE SAN MARCOS, Perú
  • Luis Enrique Castilla Calle UNIVERSIDAD NACIONAL MAYOR DE SAN MARCOS, Perú
  • Fabrizzio Dialesandro Flores Gil UNIVERSIDAD NACIONAL MAYOR DE SAN MARCOS, Perú
  • Breezy Pilar Martínez Paredes UNIVERSIDAD NACIONAL MAYOR DE SAN MARCOS, Perú

DOI:

https://doi.org/10.18687/LACCEI2026.1.1.1742

Keywords:

Ergonomics, Computer Vision, RULA, REBA, OWAS

Abstract

Manual ergonomic assessment can be slow and highly dependent on the evaluator's criteria. This study developed and tested computer vision software with two cameras to analyze postures in real time using the RULA, REBA, and OWAS methods. The system's results were compared with those of an expert in 75 measurements of five postures. The program worked stably at 30 FPS and achieved a 68.0% to 76.0% match in risk levels. In addition, it was found that the software almost always overestimates risk, which helps prevent important problems from being overlooked. In conclusion, this low-cost ergonomic tool based on computer vision supports the rapid assessment of postures in schools and companies, providing effective support for ergonomic prevention.

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Published

2026-07-27

Issue

Vol. 1 No. 14 (2026): LACCEI 2026

Section

Articles

Copyright

Copyright (c) 2026 LACCEI

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LACCEI retains copyright of all published articles under the terms of its copyright transfer agreement. As the copyright holder, LACCEI distributes the articles to the public under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

How to Cite

Atachagua Valencia, L. A., Huarancca Chilquillo, M. A., Castillo Huayanay, A. F., Castilla Calle, L. E., Flores Gil, F. D., & Martínez Paredes, B. P. (2026). RULA, REBA and OWAS real-time software model in an academic environment. LACCEI, 1(14). https://doi.org/10.18687/LACCEI2026.1.1.1742

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