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Full Description
The metaverse offers a new way of interacting with the world via immersive and interactive technologies. It has the potential to change the way we learn, work and play. 3D modelling, artificial intelligence, virtual, augmented, extended and mixed reality (VR/AR/XR/MR), the Internet of Things (IoT), Web 3.0, 5G and 6G communication, digital twins and simulation technologies, edge and cloud computing, blockchain and cybersecurity are seen as the key enabling and supporting technologies and tools for establishing the next generation metaverse environments. Industrial verticals are keen to embrace the flexible paradigm of the metaverse to be more resilient and relevant to their customers and consumers.
This book focuses on the contributing and enabling technologies and use cases for the metaverse including engineering techniques, deployment environments and integrated platforms for designing and developing metaverse applications.
Engineering the Metaverse: Enabling technologies, platforms and use cases is aimed at industry and academic researchers, scientists, engineers, architects and programmers working in the fields of information and communication technologies, 5G and 6G communication, AI, data science, IoT, edge and cloud computing, cybersecurity and automation with a focus on immersive technologies. It will also be a useful reference for lecturers and advanced students, and product and project managers as well as developers in the field of the metaverse.
Contents
Chapter 1: Demystifying metaverse system engineering
Chapter 2: Metaverse enabling technologies and industry use cases
Chapter 3: Virtual, augmented, mixed, and extended reality for the metaverse
Chapter 4: Immersive technologies for the metaverse
Chapter 5: 3D modeling for the metaverse
Chapter 6: Generative AI for the enterprise metaverse system engineering
Chapter 7: Digital twin and metaverse
Chapter 8: Metaverse world and seven layers
Chapter 9: The convergence of spatial computing, edge computing, neuromorphic computing, HPC, quantum computing, and data analytics for the metaverse
Chapter 10: The convergence of Web 3.0 with AR, VR, IoT, and AI for shaping metaverse engineering
Chapter 11: Detailing the unique power of the blockchain technology for the metaverse world
Chapter 12: Metaverse use cases (individual and industrial) and application domains
Chapter 13: Application domains for the metaverse
Chapter 14: Illustrating metaverse-driven smart manufacturing
Chapter 15: The metaverse as an educational tool: enhancing learning with blockchain technology
Chapter 16: IoT, AI, and metaverse in smart healthcare systems: a review of recent advances and future trends
Chapter 17: Application of metaverse in regenerative medicine: applications and challenges
Chapter 18: Metaverse for heart illness prediction and analysis
Chapter 19: Metaverse for Indian palm leaf manuscripts
The conclusion and the future of the metaverse
