Skip to Main Content (Press Enter)

Logo UNIPV
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations

UNIFIND
Logo UNIPV

|

UNIFIND

unipv.it
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  1. Outputs

An IoE-based Framework Supporting Human-Centric Industry

Conference Paper
Publication Date:
2025
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.
Iris type:
4.1 Contributo in Atti di convegno
Keywords:
Anomaly detection; Big Data; Data Stream; Human-machine interaction; Industry 5.0; Internet of Everything; IoT; Knowledge graphs; Metadata
List of contributors:
Arazzi, M.; Belli, A.; Cusano, C.; Esposito, M.; Facchinetti, T.; Ferretti, M.; Galimberti, G.; Sciarroni, M. M.; Napoletano, P.; Nocera, A.; Pierleoni, P.; Storti, E.; Ursino, D.
Authors of the University:
Arazzi Marco
CUSANO CLAUDIO
FACCHINETTI TULLIO
NOCERA ANTONINO
Handle:
https://iris.unipv.it/handle/11571/1541865
Book title:
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Published in:
PROCEEDINGS IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION
Series
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.4.5.0