Chris D. Nugent

Liming Chen

The book first defines the problems, various concepts and notions related to activity recognition, and introduces the fundamental rationale and state-of-the-art methodologies and approaches. It then describes the use of artificial intelligence techniques and advanced knowledge technologies for the modelling and lifecycle analysis of human activities and behaviours based on real-time sensing observations from sensor networks and the Internet of Things. It also covers inference and decision-support methods and mechanisms, as well as personalization and adaptation techniques, which are required for emerging smart human-machine pervasive systems, such as self-management and assistive technologies in smart healthcare. Each chapter includes theoretical background, technological underpinnings and practical implementation, and step-by-step information on how to address and solve specific problems in topical areas. This monograph can be used as a textbook for postgraduate and PhD students on courses such as computer systems, pervasive computing, data analytics and digital health. It is also a valuable research reference resource for postdoctoral candidates and academics in relevant research and application domains, such as data analytics, smart cities, smart energy, and smart healthcare, to name but a few. Moreover, it offers smart technology and application developers practical insights into the use of activity recognition and behaviour analysis in state-of-the-art cyber-physical systems. Lastly, it provides healthcare solution developers and providers with information about the opportunities and possible innovative solutions for personalized healthcare and stratified medicine.

For Cyber-Physical Systems in Smart Environments

Human Activity Recognition and Behaviour Analysis

Ismail Khalil

Mokhtari Mounir

Jérémy Bauchet

Daqing Zhang

We are living in a world full of innovations for the elderly and people with s- cial needs to use smart assistive technologies and smart homes to more easily perform activities of daily living, continue social participation, engage in ent- tainment and leisure activities, and to enjoy living independently. These in- vations are inspired by new technologies leveraging all aspects of ambient and pervasive intelligence with related theories, technologies, methods, applications, and services on ubiquitous, pervasive, AmI, universal, mobile, embedded, we- able, augmented, invisible, hidden, context-aware, calm, amorphous, sentient, proactive, post PC, everyday, autonomic computing from engineering, business and organizationalperspectives. In the ?eld of smart homes and health telem- ics, signi?cant research is underway to enable ageing and disabled people to use smart assistive technologies and smart homes to foster independent living and to o?er them an enhanced quality of life. A smart home is a vision of the future where computers and computing - vices will be available naturally and unobtrusively anywhere, anytime, and by di?erent means in our daily living, working, learning, business, and infota- ment environments. Such a visionopens tremendous opportunities for numerous novel services/applications that are more immersive, more intelligent, and more interactive in both real and cyber spaces.

7th International Conference on Smart Homes and Health Telematics, ICOST 2009, Tours, France, July 1-3, 2009, Proceedings

Ambient Assistive Health and Wellness Management in the Heart of the City

Maurice D Mulvenna

Information and communication technologies can provide new paradigms in healthcare provision. In particular, new Pervasive Healthcare technologies can revolutionise the dynamics of healthcare, enabling people to remain at home for longer, at lower costs to health and welfare organisations. This book reveals how pervasive healthcare technologies can be designed in conjunction with users and carers, as well as exploring the application of novel methods and technologies.

Supporting People with Dementia Using Pervasive Health Technologies

Chris D. Nugent

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