Advances in Virtual Reality And Anxiety Disorders (repost)

This book comprises the best deliberations with the theme “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” in the “International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020)”, organized by the Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology.

This book coherently presents advances in design principles, processes, and methods in healthcare product design. It captures the implications of technological advances on designing healthcare products especially when market and societal needs pull each other in opposite directions. The contents focus on innovative design thinking processes and methods in developing healthcare products, applications of digital technologies in healthcare product design, amalgamation of artificial intelligence and design thinking for healthcare product design and quality, sustainability, and regulatory aspects in the design process. This book is a useful reference for those in the industry and academia.

This course aims to help you to ask better statistical questions when performing empirical research. We will discuss how to design informative studies, both when your predictions are correct, as when your predictions are wrong. We will question norms, and reflect on how we can improve research practices to ask more interesting questions.

The 2nd edition of this book provides an updated and extended look into the advancements in Virtual Reality and the metaverse. The history and origins of Virtual Reality, crowd simulation and virtual surgery are thoroughly explored. Applications in the cultural heritage and sports domains are also examined and described in detail. There are new contributions on Senses and Sensors, Brain-Computer interfaces, Game Engines, and Immersive Sound. This edition also provides a comprehensive look into the development of applications based on AI techniques, including Machine Learning. It covers all aspects of the topic, from the theoretical foundations to practical applications. The revised and extended chapters provide readers with an in-depth understanding of the technology and its potential applications.