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Automated Ergonomic Assessment in Repetitive Culinary Tasks.

Hari Iyer1, Heejin Jeong1

  • 1The Polytechnic School, Ira A. Fulton Schools of Engineering, Arizona State University, Mesa, AZ, USA.

IISE Transactions on Occupational Ergonomics and Human Factors
|February 16, 2026
PubMed
Summary
This summary is machine-generated.

This study presents an automated system for assessing ergonomic risks in repetitive culinary jobs. It uses video analysis to identify high-risk movements, aligning with expert assessments and improving workplace safety.

Keywords:
Awkward postureergonomicsjoint angleposture estimation

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Area of Science:

  • Occupational Health
  • Ergonomics
  • Human-Computer Interaction

Background:

  • Repetitive culinary tasks pose significant musculoskeletal risks.
  • Traditional ergonomic assessments are often time-consuming and subjective.
  • Need for objective, scalable methods to evaluate workplace hazards in food service.

Purpose of the Study:

  • To develop and validate an automated ergonomic assessment system for repetitive culinary tasks.
  • To integrate joint tracking with the Assessment of Repetitive Tasks (ART) tool for risk evaluation.
  • To provide a user-friendly, scalable solution for identifying ergonomic risks in commercial kitchens.

Main Methods:

  • Utilized standard video input for joint tracking.
  • Combined kinematic data with the Assessment of Repetitive Tasks (ART) methodology.
  • Validated system outputs against expert ergonomic evaluations.

Main Results:

  • The automated system demonstrated strong alignment with expert ergonomic assessments.
  • Identified specific movement patterns indicative of high ergonomic risk.
  • System output categorized risks according to ART standards, facilitating targeted interventions.

Conclusions:

  • The automated ergonomic assessment system offers a consistent, scalable, and practical solution for commercial kitchens.
  • It enables early detection of musculoskeletal risks with minimal training and setup.
  • Potential for broader application in manufacturing and healthcare settings.