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Leveraging Digital Perceptual Technologies for Analysis of Human Biomechanical Processes: A Contactless Approach for Workload Assessment

Jesudara Omidokun et al.

IISE Transactions on Occupational Ergonomics and Human Factors2025https://doi.org/10.1080/24725838.2025.2469076article
AJG 1
Weight
0.41

What the paper says

OCCUPATIONAL APPLICATIONWe present a computer vision framework that is intended to help enhance workplace safety and productivity across diverse occupational domains by monitoring worker movements and identifying ergonomic risks. By analyzing movement patterns and biomechanics, use of this framework could promote safe and healthy working conditions, helping to prevent injuries and mitigate workplace accidents. Additionally, application of the framework could aid in assessing assistive technologies that support workers with various conditions in completing tasks safely and efficiently, thereby helping to boost productivity.

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https://doi.org/https://doi.org/10.1080/24725838.2025.2469076

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@article{jesudara2025,
  title        = {{Leveraging Digital Perceptual Technologies for Analysis of Human Biomechanical Processes: A Contactless Approach for Workload Assessment}},
  author       = {Jesudara Omidokun et al.},
  journal      = {IISE Transactions on Occupational Ergonomics and Human Factors},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1080/24725838.2025.2469076},
}

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Leveraging Digital Perceptual Technologies for Analysis of Human Biomechanical Processes: A Contactless Approach for Workload Assessment

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Evidence weight

0.41

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

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 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.