Human Digital Twins for Industry 5.0: Current Perspectives and Future Directions
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors Development".
Deadline for manuscript submissions: closed (20 November 2023) | Viewed by 4429
Special Issue Editors
Interests: digital twins; blockchain; Industry 4.0/5.0; smart manufacturing; Healthcare 4.0/5.0; IoT; big data; stream processing; collaborative systems
Special Issues, Collections and Topics in MDPI journals
Interests: Artificial Intelligence; optimisation; sensor networking; smart cities
Interests: Industry 4.0/5.0 blockchain multi-robot collaboration; space robotic; federated learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The term “digital twin” was first coined by NASA for a virtual replica of a physical structure in real space. Digital twin technology plays a vital role in the Industrial Revolution, leading to more personalized, intelligent, and proactive collaboration with machines. Industry 5.0 is a human-centric industrial revolution aiming to leverage human experts’ creativity in collaboration with efficient, intelligent and accurate machines by empowering the human-in-the-loop (HITL) design model. Most research and industry have recently adopted digital twin technology for human-centric advances based on the Industry 5.0 paradigm for product personalization and customization. Moreover, they have started to integrate digital twin technology with emerging industrial technologies (e.g., nanotechnology, 5G technologies, drone technology, blockchain, DTs, robotics, big data, IoT, AI, and cloud computing) to support applications that allow humans and machines to work hand in hand. Consequently, a human digital twin could be defined for a specific purpose to implement Industry 5.0 applications and use cases. However, the human digital twin model still faces challenges due to privacy, rights, regulations and ethics. Although there has been significant progress toward digital twins in industries, more research innovation, dissemination and technologies are needed to unbundle new opportunities and move towards human personal digital twins to empower the Industry 5.0 vision.
This Special Issue targets exploring new research directions in human digital twins in combination with Industry 5.0 technologies. The aim is to document the current state-of-the-art and identify future directions in human digital twins for research work in Industry 5.0. This Special Issue is also designed to highlight the applications, industrial experiments, studies and use cases of human digital twins for Industry 5.0.
Therefore, the suggested topics of interest for the Special Issue include, but are not limited to:
- Human digital twin-based frameworks and solutions for Industry 5.0
- Human digital twins solutions for product personalization and customization
- Data privacy , ethics and regulations for human/personal digital twin
- Modelling for human/personal digital twins
- IoT and human/personal digital twins
- Blockchain for human digital twins collaboration
- Digital human and robot collaboration
- Real-time system prediction based on human/personal digital twins
- Decentralization for human digital twins collaboration
- Human digital twins for smart decision
- Predictive models based on human digital twins
- Distributed machine learning/Federated learning/Ensemblelearning for human digital twins solutions
- Explainable AI for decision making based on human/personal digital twins
- Personal digital twins for Healthcare 5.0 and Society 5.0
- Human digital twins for Factory 5.0, Production 5.0 .etc
Dr. Radhya Sahal
Prof. Dr. Kenneth Brown
Dr. Saeed Alsamhi
Guest Editors
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Keywords
- human digital twins
- Industry 5.0
- human-in-the-loop
- human-centric
- data analysis
- machine/deep learning
- federated learning
- IoT
- blockchain
- Healthcare 5.0
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