Temporal Integration Framework for Segment-Level Cumulative Ergonomic Exposure Modeling

Authors

  • Nour El Houda Benharkat ecole national polytechnique
  • Souad Bentaalla-kaced ecole national polytechnique
  • Abdelmalek Chergui Ecole National Polytechnique

DOI:

https://doi.org/10.53907/enpesj.v6i1.363

Keywords:

Musculoskeletal Disorders, Computer Vision, Real-Time Monitoring, Ergonomic Exposure, Cumulative Trauma

Abstract

This paper proposes a vision-based temporal integration framework for segment-level cumulative ergonomic exposure modeling. Joint angles derived from OpenPose keypoints are mapped to REBA scores at six anatomical segments. A recovery-weighted exposure model quantifies cumulative risk by integrating posture severity, duration, and frequency while accounting for tissue recovery dynamics. Pattern recognition algorithms identify hazardous signatures without forecasting future postures. Validated through simulation of a manual handling task  (repetitive packaging) calibrated to empirically observed score distributions, the framework demonstrates that cumulative exposure metrics reveal critical risk patterns invisible to instantaneous scoring, specifically, sustained exposure to minimum-risk postures (REBA Score 2) generates substantial cumulative burden despite the absence of extreme scores. This pilot study establishes methodological feasibility for temporal integration in ergonomic assessment.

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Published

2026-07-07

How to Cite

Benharkat, N. E. H., Bentaalla-kaced, S., & Chergui, A. (2026). Temporal Integration Framework for Segment-Level Cumulative Ergonomic Exposure Modeling. ENP Engineering Science Journal, 6(1), 54–64. https://doi.org/10.53907/enpesj.v6i1.363

Issue

Vol. 6 No. 1 (2026): ENP Engineering Science Journal

Section

Article

License

Copyright (c) 2026 ENP Engineering Science Journal

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