Cyber Physical Human Systems: Emerging Trends and Applications

Discover how the seamless integration of human behavior modeling, digital twins, and deep neural networks is revolutionizing vital industries in this essential guide to the next generation of intelligent systems.

Cyber-physical human systems are interconnected systems made of people, computers, and cyber-physical objects that can connect and disengage with one another in time and space. The implications of cyber-physical human systems are transforming our daily lives, workplaces, and social interactions. From manufacturing and industry to healthcare and government, these complex systems that integrate hardware, software, and networks are at the core of many vital sectors and applications. Maximizing effectiveness and raising productivity, they improve the interconnectivity of systems and devices across industries.

This book comprehensively covers recent technological advancements and applications in the field of intelligent cyber-physical human systems, providing insights into emerging trends and applications in the context of new-generation intelligent systems. It explores advancements in cyber-physical human systems that integrate human behaviour modelling, Internet of Things, digital twins, industrial IoT, and deep neural networks for applications in 6G communication, robotics, healthcare, and autonomous vehicles. Using real-world case studies, this essential guide serves as a resource for academics and industry professionals alike.

Anitha Velu, PhD is an Assistant Professor in the Department of Electronics and Communication Engineering at the Sri Sairam College of Engineering, Bangalore, India. She has published more than 15 papers in reputed journals and two patents. Her research interests include image processing, VLSI design, Internet of Things, quantum cryptography, ontology, and semantic web.

Prasanth Aruchamy, PhD is an Associate Professor in the Department of Computer Science and Engineering at the Vel Tech Rangarajan Dr. Sagunthala Research and Development Institute of Science and Technology, Chennai, India. He has published more than 45 research articles in international journals and conference proceedings, ten patents, and 12 books. His research interests include the Internet of Things, blockchain, wireless sensor networks, medical image processing, and machine learning.

Raghu Ramamoorthy, PhD is an Associate Professor in the Department of Computer Science and Engineering at the Oxford College of Engineering, Bengaluru, India. With more than 15 years of experience across academia and industry, he has published more than 50 articles in international journals and conferences. His research interests include VANETS, MANETS, computer networks, and wireless communication.

Rajesh Kumar Dhanaraj, PhD is a Professor at the Symbiosis Institute of Computer Studies and Research at Symbiosis International University, Pune, India. He has authored and edited more than 50 books and more than 115 articles on various cutting-edge technologies and holds 22 patents. His research interests encompass machine learning, cyber-physical systems, and wireless sensor networks.

Manjula Arunraj, PhD is an Assistant Professor in the Department of Health Information Management and Technology in the College of Applied Medical Sciences at King Faizal University, Alahsa, Saudi Arabia. Her research interests include clinical psychology, health psychology, and abnormal psychology.