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.
Authors
- Alberto Belli (ORCID: https://orcid.org/0000-0002-9399-0810)
- Domenico Ursino (ORCID: https://orcid.org/0000-0003-1360-8499)
- Claudio Cusano (ORCID: https://orcid.org/0000-0001-9365-8167)
- Paolo Napoletano (ORCID: https://orcid.org/0000-0001-9112-0574)
- Marco Arazzi (ORCID: https://orcid.org/0000-0002-3371-307X)
- Tullio Facchinetti (ORCID: https://orcid.org/0000-0003-0221-6123)
- Emanuele Storti (ORCID: https://orcid.org/0000-0001-5966-6921)
- Marco Esposito (ORCID: https://orcid.org/0000-0003-4984-8304)
- Paola Pierleoni (ORCID: https://orcid.org/0000-0002-1436-8864)
- Antonino Nocera (ORCID: https://orcid.org/0000-0003-2120-2341)
- Marco Ferretti (ORCID: https://orcid.org/0000-0003-3543-2383)
- Gabriele Galimberti (ORCID: https://orcid.org/0000-0002-9243-2040)
- Monica Marconi Sciarroni
Institutions
- Marche Polytechnic University (IT)
- University of Pavia (IT)
- University of Milano-Bicocca (IT)
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
- 0.00