This paper presents the concept and the system architecture of the ICT platform developed in the framework of the RT-PROFASY project, which aims to monitor the well-being of workers by means of wearable sensors in order to estimate in real-time their level of stress and fatigue, and to integrate data flows coming from production processes, environment and indoor localization within a single platform. This enables in-depth elaboration and analysis of aggregated data with a positive impact in workers safety and productivity, allowing companies to pursue product quality through sustainable processes for workers and appropriate working environments.

RT-PROFASY: Enhancing the Well-being, Safety and Productivity of Workers by Exploiting Wearable Sensors and Artificial Intelligence

Donati M.
Primo
;
Olivelli M.;Fanucci L.
Ultimo
2022-01-01

Abstract

This paper presents the concept and the system architecture of the ICT platform developed in the framework of the RT-PROFASY project, which aims to monitor the well-being of workers by means of wearable sensors in order to estimate in real-time their level of stress and fatigue, and to integrate data flows coming from production processes, environment and indoor localization within a single platform. This enables in-depth elaboration and analysis of aggregated data with a positive impact in workers safety and productivity, allowing companies to pursue product quality through sustainable processes for workers and appropriate working environments.
2022
978-1-6654-1093-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1157810
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