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Human Activity Recognition and Behaviour Analysis For Cyber-Physical Systems in Smart Environments

Title
Human Activity Recognition and Behaviour Analysis [electronic resource] : For Cyber-Physical Systems in Smart Environments / by Liming Chen, Chris D. Nugent.
ISBN
9783030194086
Edition
1st ed. 2019.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2019.
Physical Description
1 online resource (XXIV, 255 p.) 81 illus., 65 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
June 28, 2019
Contents
Chapter 1. Introduction
Chapter 2. Sensor-based Activity Recognition Review
Chapter 3. An Ontology-based Approach to Activity Recognition
Chapter 4. A Hybrid Approach to Activity Modelling
Chapter 5. Time-window based Data Segmentation
Chapter 6. Semantic-based Sensor Data Segmentation
Chapter 7. Composite Activity Recognition
Chapter 8. Semantic Smart Homes: Towards a Knowledge-rich Smart Environment
Chapter 9. Semantic Smart Homes: Situation-aware Assisted Living
Chapter 10. Human Centred Cyber Physical Systems.
Citation

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