An IoE-based Framework Supporting Human-Centric Industry

Industry 5.0 envisions manufacturing systems that are human-centric, sustainable, and resilient. In this context, the Internet of Everything (IoE) enables integration of devices, people, and processes into a unified digital ecosystem. This paper presents a modular, semantically enriched framework that supports this transition by managing heterogeneous data sources—such as IoT sensors, wearable devices, and smart objects—through a layered architecture. The platform enables real-time data stream processing, semantic interoperability, and secure, context-aware access. Anomaly detection is enabled through a privacy-preserving mechanism based on behavioral fingerprinting and federated learning. The platform supports immersive human-machine interaction via gesture recognition, empowering workers to control and interact with industrial systems. Use cases demonstrate the system’s ability to support gesture-based control and intelligent monitoring, highlighting its potential to enhance adaptability, security, and worker empowerment in Industry 5.0 environments.

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Publication Details

Published
2025-09-09
DOI
https://doi.org/10.1109/etfa65518.2025.11205771
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
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article

An IoE-based Framework Supporting Human-Centric Industry

Alberto Belli, Domenico Ursino, Claudio Cusano, Paolo Napoletano et al.
Robotics and Automated Systems
article

An IoE-based Framework Supporting Human-Centric Industry

Alberto Belli, Domenico Ursino, Claudio Cusano, Paolo Napoletano, Marco Arazzi, Tullio Facchinetti, Emanuele Storti, Marco Esposito, Paola Pierleoni, Antonino Nocera, Marco Ferretti, Gabriele Galimberti, Monica Marconi Sciarroni
article en

Abstract

Industry 5.0 envisions manufacturing systems that are human-centric, sustainable, and resilient. In this context, the Internet of Everything (IoE) enables integration of devices, people, and processes into a unified digital ecosystem. This paper presents a modular, semantically enriched framework that supports this transition by managing heterogeneous data sources—such as IoT sensors, wearable devices, and smart objects—through a layered architecture. The platform enables real-time data stream processing, semantic interoperability, and secure, context-aware access. Anomaly detection is enabled through a privacy-preserving mechanism based on behavioral fingerprinting and federated learning. The platform supports immersive human-machine interaction via gesture recognition, empowering workers to control and interact with industrial systems. Use cases demonstrate the system’s ability to support gesture-based control and intelligent monitoring, highlighting its potential to enhance adaptability, security, and worker empowerment in Industry 5.0 environments.

Marche Polytechnic University (IT), University of Pavia (IT), University of Milano-Bicocca (IT)
Openalex Percentile: Top 62%
Robotics and Automated Systems
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An IoE-based Framework Supporting Human-Centric Industry — Alberto Belli, Domenico Ursino, et al. · (2025) | TGRS Research Map | TGRS