In modern production systems, prioritizing the safety and well-being of human operator is crucial. Industry 5.0 responds to this need by giving significant importance to the Human Factor (HF) and ergonomics. Our work introduces a semi-automatic tool for Compositive Lifting Index (CLI) calculation for risk detection during multi-task manual lift jobs using the Azure Kinect depth cameras named AzKCLI. We conducted 20 simulations of industrial tasks in our laboratory with a risk assessment from both AzKCLI and expert ergonomic judgment. Additionally, we simulated three tasks taken from the paper that introduced CLI for comparative analysis. Findings reveal a strong agreement between assessments, proposing a novel semi-automatic tool that offers a more objective, economically efficient, and a rapid evaluation of multi-task manual lifting jobs, thus contributing to enhance workplace safety in the Industry 5.0 era.
AzKCLI: a semi-automatic tool for Compositive Lifting Index (CLI) evaluation through Azure Kinect / Forgione, Chiara; Lolli, Francesco; Maria Coruzzolo, Antonio; Gamberini, Rita; Balugani, Elia. - 147:(2024), pp. 53-61. ( 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025) and the Affiliated Conferences Nizza 24/07/2024) [10.54941/ahfe1005177].
AzKCLI: a semi-automatic tool for Compositive Lifting Index (CLI) evaluation through Azure Kinect
Forgione, Chiara;Lolli, Francesco;Maria Coruzzolo, Antonio;Gamberini, Rita;Balugani, Elia
2024
Abstract
In modern production systems, prioritizing the safety and well-being of human operator is crucial. Industry 5.0 responds to this need by giving significant importance to the Human Factor (HF) and ergonomics. Our work introduces a semi-automatic tool for Compositive Lifting Index (CLI) calculation for risk detection during multi-task manual lift jobs using the Azure Kinect depth cameras named AzKCLI. We conducted 20 simulations of industrial tasks in our laboratory with a risk assessment from both AzKCLI and expert ergonomic judgment. Additionally, we simulated three tasks taken from the paper that introduced CLI for comparative analysis. Findings reveal a strong agreement between assessments, proposing a novel semi-automatic tool that offers a more objective, economically efficient, and a rapid evaluation of multi-task manual lifting jobs, thus contributing to enhance workplace safety in the Industry 5.0 era.| File | Dimensione | Formato | |
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978-1-964867-23-6_6.pdf
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