Personalized health technologies offer many benefits. Smart mobile systems, textiles and implants and sensor-controlled medical devices have become important enablers for telemedicine and ubiquitous pervasive health as the next-generation health services, while social media and gamification have added another dimension to pHealth as an eco-system. This book presents the proceedings of pHealth 2022, the 19th in the conference series, held as a hybrid event in Oslo, Norway, from 8 – 10 November 2022. The pHealth 2022 conference attracted experts from many scientific domains and brought together health-service vendor and provider institutions, payer organizations, government departments, academic institutions, professional bodies, and patients and citizen representatives. Topics covered include mobile technologies, micro-nano-bio smart systems, bio-data management and analytics, machine learning, artificial intelligence and robotics for personalized health, the Health Internet of Things (HIoT), systems medicine, public health and virtual care. The book includes 2 keynote papers, 10 invited papers, 20 full papers, and 4 poster papers by 113 authors from 23 countries. All submissions were carefully and critically reviewed by at least two independent experts from a country other than the author’s home country, and additionally by at least one member of the Scientific Program Committee, guaranteeing a high scientific level of the accepted and ultimately published papers. Exploring the enormous potential of pHealth for improvements in medical quality and also for the management of healthcare costs and the provision of a better patient experience, the book will be of interest to all those involved in the development and provision of healthcare.

Affective computing is a nascent field situated at the intersection of artificial intelligence with social and behavioral science. It studies how human emotions are perceived and expressed, which then informs the design of intelligent agents and systems that can either mimic this behavior to improve their intelligence or incorporate such knowledge to effectively understand and communicate with their human collaborators. Affective computing research has recently seen significant advances and is making a critical transformation from exploratory studies to real-world applications in the emerging research area known as applied affective computing. This book offers readers an overview of the state-of-the-art and emerging themes in affective computing, including a comprehensive review of the existing approaches to affective computing systems and social signal processing. It provides in-depth case studies of applied affective computing in various domains, such as social robotics and mental well-being. It also addresses ethical concerns related to affective computing and how to prevent misuse of the technology in research and applications. Further, this book identifies future directions for the field and summarizes a set of guidelines for developing next-generation affective computing systems that are effective, safe, and human-centered. For researchers and practitioners new to affective computing, this book will serve as an introduction to the field to help them in identifying new research topics or developing novel applications. For more experienced researchers and practitioners, the discussions in this book provide guidance for adopting a human-centered design and development approach to advance affective computing.