Human Activity Recognition and Behaviour Analysis For Cyber-Physical
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
- PDF / 10,040,620 Bytes
- 268 Pages / 453.544 x 683.151 pts Page_size
- 41 Downloads / 247 Views
an Activity Recognition and Behaviour Analysis For Cyber-Physical Systems in Smart Environments
Human Activity Recognition and Behaviour Analysis
Liming Chen Chris D. Nugent •
Human Activity Recognition and Behaviour Analysis For Cyber-Physical Systems in Smart Environments
123
Liming Chen School of Computer Science and Informatics De Montfort University Leicester, UK
Chris D. Nugent School of Computing Ulster University Belfast, UK
ISBN 978-3-030-19407-9 ISBN 978-3-030-19408-6 https://doi.org/10.1007/978-3-030-19408-6
(eBook)
© Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
Recent advances in ubiquitous computing, sensing technologies, the Internet of Things, mobile computing and smart environments have led to a new wave of smart cyber-physical applications. These applications require human-machine systems to support context awareness, learning and cognitive capabilities, personalization and adaptation. Activity recognition and computational behaviour analysis are key to the success of such cyber-physical human-machine systems, as they provide essential contexts at multiple levels of abstraction for the aforementioned features. Over years, there has been a constant shift of sensor observation modelling, representation, interpretation and usage, from low-level raw observation data and their direct/hardwired usage, data aggregation and fusion to high-level formal context modelling, activity recognition and behaviour analysis, and further to change detection, semantic interpretation, decision support and recommendation. It is envisioned that this trend will continue towards a further higher level of abstraction, achieving situation, activit
Data Loading...
