Vandana Sharma, PhD is an associate professor at CHRIST University. She has published over 50 research papers in international journals and conferences, and contributed as a keynote speaker, session chair, reviewer, and Technical Program Committee (TPC) member for international journals and conferences. Her primary areas of interest include artificial intelligence, blockchain technology, and the Internet of Things. Pethuru Raj, PhD is the Chief Architect and Vice President at Reliance Jio Platforms Ltd. with over 22 years of IT industry experience. He has over 120 publications, including six books and numerous book chapters and journal articles. His research focuses on the Internet of Things, artificial intelligence, model optimization techniques, blockchain, and digital twins. Balamurugan Balusamy, PhD is an Associate Dean of Students at Shiv Nadar University with over 12 years of experience. He has published over 200 papers in international journals and edited and authored over 80 books. Additionally, he has given over 195 talks at international conferences and symposia. His contributions focus on engineering education, blockchain, and data sciences. Rajesh Kumar Dhanaraj, PhD is a professor at Symbiosis International University. He has authored and edited over 45 books, and published 21 atents and over 90 articles and papers in in international journals and conferences. His research interests include machine learning, cyber-physical systems, and wireless sensor networks.

• Preface xxi1 Demystifying the Metaverse Era: The Enabling Technologies and Industry Use Cases 1Pethuru Raj, N. Gayathri and Vandana Sharma1.1 Introduction 11.2 The Trends and Transitions in the Digital Era 31.3 Delineating Metaverse 61.4 The Metaverse Application Domains 271.5 Conclusion 322 Future Trends of Roadmap to Metaverse Technology 37Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, Vandana Sharma and Balamurugan Balusamy2.1 Introduction 382.2 Concepts of Metaverse 452.3 Metaverse 452.4 IT Hardware Parts (Physical Devices and Sensors) 482.5 Metaverse in Medical Domain 533 Amalgamation of IoT, Blockchain, Artificial Intelligence for Metaverse 59Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal, Reenu Batra and Vandana Sharma3.1 Introduction 603.2 Understanding the Core Technologies 633.3 Synergy Between IoT, Blockchain, and AI 663.4 Applications in the Metaverse 703.5 Case Studies 733.6 Challenges and Solutions 753.7 Future Prospects 783.8 Conclusion 804 Metaverse Technology Architecture and Distributed Applications: Open Issues and Challenges 85Pankaj Rahi, Budesh Kanwer, Monika Dandotiya, Reena Agnihotri and Mayur D. Jakhete4.1 Introduction 864.2 Problems in Applying AR/VR in Healthcare 894.3 The Architecture and Use of Metaverse Technology 904.4 Applications 924.5 Benefits of Metaverse Technology in Improving the Quality of Services (QoS) 954.6 Limitations of Metaverse Technology Interfaces 974.7 Advantages of Metaverse 1004.8 The Negatives of the Metaverse 1014.9 Convergence Technologies, Open Issues, and Challenges of Metaverse 1044.10 Conclusion 1084.11 Future Work 1095 Tools and Applications for Creation of MetaHuman 113Vijay K., Eashaan Manohar, Sowmia K. R. and Ravikumar S.5.1 Introduction 1145.2 Evolution of MetaHumans 1145.3 Metahuman Modeling 1155.4 Functional Layer 1165.5 Behavior Layer 1175.6 Structural Layer 1175.7 Challenges in Metahuman Creation 1185.8 Phases of Creating Metahumans 1185.9 Software Tools in Metahuman Creation 1245.10 Platforms for MetaHuman Use 1325.11 Conclusion 1366 Exploring the Blockchain-Enabled Metaverse: A Comparative Study of Leading Platforms 139Upinder Kaur and Vandana Sharma6.1 Introduction 1406.2 Metaverse in Depth 1416.3 Introduction to Blockchain 1456.4 Comparative Analysis of Blockchain Integration in Metaverse Platforms 1486.5 Application Domains 1546.6 Decentralization and Governance 1566.7 Virtual Economy and Currency 1576.8 User Experience and Accessibility 1576.9 Security and Privacy 1586.10 Ecosystem Development 1596.11 Interoperability and Standards 1596.12 Case Study: Virtual Career Fair Using Metaverse and Blockchain 1606.13 Open Issues and Challenges in the Metaverse 1626.14 Conclusion 1647 Exploiting Smart Communication System Applications and Imagined Speech for Metaverse Fuzzy Conditions 171Yogeesh N. and P. William7.1 Introduction 1727.2 Smart Communication System Applications and Their Relevance to Metaverse Fuzzy Conditions 1757.3 Exploiting Smart Communication System Applications and Imagined Speech for Metaverse Fuzzy Conditions 1847.4 Case Studies 1907.5 Limitations and Challenges 1947.6 Future Directions and Conclusion 1968 Brain Computer Interface of an Immersive Virtual Metaverse Envisioned for Brain Healthcare 201Pankaj Rahi, Abolfazl Mehbodniya, Julian L. Webber and Sayed Sayeed Ahmad8.1 Introduction 2028.2 System Overview 2058.3 Brain Signaling Concepts 2088.4 Brain–Computer Interface Architecture 2118.5 Neuropsychological Signals Applied in BCI Applications 2128.6 Humanoid BCI Research 2148.7 Psychological Task Classification for Brain–Computer Interface Solicitations 2238.8 BCI and Its Applications 2258.9 Present and Futuristic Aspects 2278.10 Conclusion 2279 The Role of Metaverse in Education—Framework, Applications, Future Scope, and Importance of Metaverse in Virtual Learning Environment 233Shubham Verma, Amit Gupta and Abhishek Prabhakar9.1 Introduction 2349.2 Advancements, Explanations, and Characteristics of the Metaverse 2359.3 Collection of Technologies 2379.4 Gap Analysis in the Real and Virtual Environment 2379.5 Technologies Enhancement in Digital Era 2379.6 Online Persona 2379.7 Immersive and Multisensory Experience 2389.8 Decentralized and Editable Content 2389.9 Concept, Architectural View, and Characteristics of the Metaverse in Education 2389.10 Architectural Representations Based on Metaverse in Education 2399.11 High-Speed Communication and Networks 2409.12 Computing Technologies 2409.13 Technological Analysis 2409.14 Modeling Within Metaverse 2419.15 Variety of Technology Interaction with Metaverse 2419.16 NPC—Non-Player Character 2419.17 Metaverse Education Through Learning 2429.18 Learning Resource 2429.19 Learning Logging 2439.20 Learning Analysis 2439.21 Learning Authentication 2439.22 Features of Metaverse in Education 2449.23 Learners’ Participation in Class Based on Time and Location 2459.24 Learner Identity 2459.25 Social Communication of Learners in Classroom 2469.26 Learning Scene 2469.27 Learning Resource 2469.28 Learning Activity 2479.29 Learning Interaction 2479.30 Learning Objective 2489.31 Future Potential Applications of the Metaverse in Education 2489.32 The Metaverse Assists Blended Learning 2499.33 The Metaverse Assists Virtual Experiment Learning 2509.34 Metaverse Education: What is Next for Virtual Learning? 2519.35 Understanding Metaverse Education 2519.36 Metaverse Education: Opportunities 2529.37 Enhanced Inclusion, Diversity, and Equity (DE&I) 2529.38 Relatable to Modern Students (Digital Natives) 2539.39 Can Be Combined with Mirror Worlds for Immersive Learning 2549.40 Competitive Advancements of the Metaverse in Education 2549.41 Technology and Equipment 2549.42 Privacy and Data Security 2559.43 Ethics and Morality 2559.44 Addiction 2569.45 Identity and Social Interaction 2569.46 Potential Metaverse Education Research Areas 2569.47 Conclusions 26010 Concept Development and System Standards for Metaverse 263Vijay K., Ravikumar S., Prithi Samuel and Eashaan Manohar10.1 Introduction 26410.2 What Does Metaverse Mean? 26610.3 Concept Development for the Metaverse 26710.4 Advantages of AI in Metaverse 27610.5 How is Blockchain Related to Metaverse? 28010.6 System Standards for the Metaverse 28110.7 Research Challenges and Perspectives 28410.8 Conclusion 28711 Open-Source Tools, Platforms, and Environment for Building Metaverse 291Himani Maheshwari, Umesh Chandra and Dharminder Yadav11.1 Introduction 29111.2 Open-Source Tools and Other Metaverse Platforms 29411.3 Conclusion 30512 Strategies and Procedures for the Development of Virtual Worlds Utilizing the Metaverse 307Ridhima Sharma, Timcy Sachdeva and Prerna Ajmani12.1 Introduction 30712.2 Technical Process 30812.3 Creative Approaches and Procedures 30912.4 The Innovative Component 31212.5 The Aspect of Society 31212.6 Regarding the Economy 31312.7 Component of Ethics 31312.8 The Capabilities of the Technology of the Metaverse 31512.9 Virtual Reality (VR) and Augmented Reality (AR) Technologies 31612.10 Platform Compatibility Across a Wide Range of Platforms 31812.11 Possible Outcomes 32112.12 Conclusion 32213 Case Studies and Use Cases for Metaverse-Driven Industries and Service Sectors 327Vijay K., Sowmia K. R., Eashaan Manohar, K. Jayashree and Ravikumar S.13.1 Introduction 32813.2 Facilitating a Virtual Test Drive for Automotive Industry 32813.3 Example: Uber is a Multi-Sided Platform Business Model 32913.4 Virtual Showrooms for the Retail and eCommerce Sector 32913.5 Seven Industries Transformed by Metaverse 33013.6 What are the Metaverse Use Cases and Applications? 33913.7 Conclusion 35414 Fuzzy Logic in Metaverse Technology Roadmap: Adaptive Future Trends 359Yogeesh N.14.1 Introduction 36014.2 Fuzzy Taxonomy for Metaverse Technologies 36114.3 Fuzzy-Driven Technology Roadmap 36314.4 Fuzzy Integration of Emerging Technologies 36514.5 Case Studies 36814.6 Future Perspectives 37414.7 Conclusion 377References 380About the Editors 381Index 383