Human Activity Recognition and Behaviour Analysis

For Cyber-Physical Systems in Smart Environments

  • Liming Chen
  • Chris D.  Nugent

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Liming Chen, Chris D. Nugent
    Pages 1-21
  3. Liming Chen, Chris D. Nugent
    Pages 23-47
  4. Liming Chen, Chris D. Nugent
    Pages 49-75
  5. Liming Chen, Chris D. Nugent
    Pages 77-101
  6. Liming Chen, Chris D. Nugent
    Pages 103-126
  7. Liming Chen, Chris D. Nugent
    Pages 127-149
  8. Liming Chen, Chris D. Nugent
    Pages 151-181
  9. Liming Chen, Chris D. Nugent
    Pages 183-199
  10. Liming Chen, Chris D. Nugent
    Pages 201-215
  11. Liming Chen, Chris D. Nugent
    Pages 217-249
  12. Back Matter
    Pages 251-255

About this book


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.


Activity Recognition Behavior Analysis Pervasive Computing Cyber-physical Systems Smart Homes Internet of Things

Authors and affiliations

  1. 1.School of Computer Science and InformaticsDe Montfort UniversityLeicesterUK
  2. 2.School of ComputingUlster UniversityBelfastUK

Bibliographic information

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