Wearable AI - The Future of Continuous Health Monitoring in the Metaverse

·
· CRC Press
Ebook
244
Pages
Eligible

About this ebook

This book brings together leading scholars, technologists, clinicians, and designers to investigate the scientific foundations, applications, and implications of continuous health monitoring. It delves into breakthroughs in biosensing, neural interfaces, digital twins, and AI-driven analytics that enable real-time physiological and behavioral insights. Through a series of interdisciplinary chapters, it showcases how wearable AI systems integrate seamlessly with metaverse platforms to deliver personalized, preventive, and participatory healthcare experiences. Beyond technological innovation, the volume critically engages with the ethical, regulatory, and social dimensions of this transformation. It addresses pressing questions around data privacy, algorithmic transparency, equity, and the psychological impact of health virtualization. The discussions extend to global health policy, digital inclusion, and the future of medical governance in AI-enhanced environments.

Key Features:

  • This book investigates recent innovations in AI-driven wearable technology for ongoing health surveillance.
  • It offers an extensive perspective on how the metaverse augments AI-driven healthcare solutions.
  • This book examines the legislative, ethical, and privacy problems associated with the integration of wearable AI into virtual settings.
This book brings together leading scholars, technologists, clinicians, and designers to investigate the scientific foundations, applications, and implications of continuous health monitoring. It delves into breakthroughs in biosensing, neural interfaces, digital twins, and AI-driven analytics tha...

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About the author

Dr. Balasubramaniam S is an Assistant Professor at the School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology, Digital University Kerala (DUK), Thiruvananthapuram, Kerala, India. Prior to joining DUK, he was with the school of computer science and engineering, Vellore Institute of Technology (VIT), Chennai where he worked as a senior associate professor. He has over 15 years of experience in teaching, applied research, and industry. He was a postdoctoral researcher in the Department of Applied Data Science at Noroff University College, Kristiansand, Norway. He has a PhD in Computer Science and Engineering from Anna University, Chennai, India (2015). He has published more than 30 research papers in reputed SCI/WoS/Scopus indexed journals. He has been granted one Australian patent and two Indian patents and has also published two additional Indian patents. He has presented papers at conferences, received a best paper award, contributed 40 chapters in edited books, and has been an editor in 15 books published by international publishers. His research and publication interests include machine learning, deep learning, federated learning-based healthcare and security applications, cloud computing security, generative AI and agentic AI.

Prof. Seifedine Kadry has a bachelor’s in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University (France). At present his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an IET and AAIA fellow and he is a full professor of data science at the Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.

Dr. Balasubramaniam S is an Assistant Professor at the School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology, Digital University Kerala (DUK), Thiruvananthapuram, Kerala, India. Prior to joining DUK, he was with the school of computer science...

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