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Automated Ergonomic Assessment in Repetitive Culinary Tasks

Hari Iyer & Heejin Jeong

IISE Transactions on Occupational Ergonomics and Human Factors2026https://doi.org/10.1080/24725838.2026.2615463article
AJG 1
Weight
0.37

What the paper says

OCCUPATIONAL APPLICATIONSThis study introduces an automated ergonomic assessment system tailored for repetitive culinary tasks. By combining joint tracking with the Assessment of Repetitive Tasks (ART) tool, the system identifies movement patterns and evaluates ergonomic risks. Results show strong alignment with expert evaluations. Operating with standard video input, the system minimizes the need for manual observation, enabling consistent and scalable risk evaluations. Designed for practical use, the system can be deployed in commercial kitchens using affordable cameras and minimal setup. The output aligns with ART categories, helping safety managers pinpoint high-risk tasks. These findings can inform ergonomic interventions, such as tool redesign or task rotation. User-friendly and requiring minimal training, the system is well-suited for small to medium-sized food operations. It facilitates early detection of musculoskeletal risks and complements existing safety protocols. With further development, the system holds potential for broader applications in fields like healthcare or manufacturing.

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https://doi.org/https://doi.org/10.1080/24725838.2026.2615463

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@article{hari2026,
  title        = {{Automated Ergonomic Assessment in Repetitive Culinary Tasks}},
  author       = {Hari Iyer & Heejin Jeong},
  journal      = {IISE Transactions on Occupational Ergonomics and Human Factors},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/24725838.2026.2615463},
}

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Automated Ergonomic Assessment in Repetitive Culinary Tasks

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.