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.
2024
16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025) and the Affiliated Conferences
Nizza
24/07/2024
147
53
61
Forgione, Chiara; Lolli, Francesco; Maria Coruzzolo, Antonio; Gamberini, Rita; Balugani, Elia
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1353407
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