Human-Centric Sensing and Technologies in Industry 5.0
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 47
Special Issue Editors
Interests: 3D face analysis; emotional analysis; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: 3D face analysis; facial expression; automated pattern recognition; face recognition
Special Issues, Collections and Topics in MDPI journals
Interests: product lifecycle management; product design and development; human–machine interaction; human–machine interface; human–computer interaction; computer-aided design; extended reality; augmented reality; virtual reality; artificial intelligence; behavioral analysis; digital therapies; minimally invasive surgery
Special Issues, Collections and Topics in MDPI journals
Interests: computer-aided design; computer-aided design applied to medical applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The digital transition started with Industry 4.0 has boosted the manufacturing system to novel productive models that are smart, connected and self-controlling. This technology-centred development is now evolving in a new direction to take the human at the centre of the ongoing Fifth Industrial Revolution. Industry 5.0 emphasizes a shift toward human-centric, sustainable, and resilient manufacturing systems, extending beyond the economic approach of the automation of Industry 4.0. This new paradigm is shaping the industry of the future and integrates advanced technologies while prioritising worker well-being in a holistic vision.
Pivotal to this approach are sensing technologies that monitor workers' physical and cognitive states through real-time data acquisition: physical constraints can be identified using real-time posture monitoring (e.g., inertial measurement units (IMUs)), whilst cognitive states can be characterised through psycho-physiological parameters (e.g., electroencephalograms (EEGs), heart rate variability (HRV), and electrodermal activity (EDA). These insights can help to mitigate stress, reduce mental fatigue, and enhance workplace ergonomics, allowing a human-centric redesign of the workplace.
From this standpoint, digital twins integrating virtual replicas of manufacturing processes and psycho-physiological parameters continuously updated via sensor data will enable real-time adjustments to optimize ergonomics and worker performance.
This Special Issue aims to publish original and groundbreaking research and review articles on advances in sensing and technologies to support the paradigm shift from technology-centric to human-centric industry and promoting a human–machine co-evolution. Topics to be covered include, but are not limited to, the following:
- Wearable sensors;
- Psycho-physiological parameters;
- Internet of Things (IoT);
- Artificial Intelligence (AI), Machine Learning (ML) and Neural Networks;
- Digital twins;
- Extended reality (XR).
Dr. Elena Carlotta Olivetti
Dr. Federica Marcolin
Prof. Dr. Enrico Vezzetti
Guest Editors
Prof. Sandro Moos
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- Industry 5.0
- digital twins
- holistic ergonomics
- mental/physical stress in the workplace
- psycho-physiological technologies
- sensors for ergonomics
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