Overview
- Highlights recent research in the field of Human Activity Recognition (HAR) based on sensors
- Presents a comprehensive study and addresses various aspects of human activity recognition based on wearable, environmental, and smartphone sensors
- Includes a list of sensing devices, sensors, and applications that can be used for collecting activity data
- Provides a comprehensive analysis of ca. 80 benchmark datasets, which includes information on sensors, attributes, activity classes, etc., and sums up several types of sensor-based daily activities, medical activities, fitness activities, device usage, fall detection, and hand gesture data
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 173)
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Table of contents (10 chapters)
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Front Matter
Keywords
About this book
This book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring. In addition, the complexities, challenges, and design issues involved in data collection, processing, and other fundamental stages along with datasets, methods, etc., are discussed in detail. The book offers a valuable resource for readers in the fields of pattern recognition, human–computer interaction, and the Internet of Things.
Reviews
“This book is filling the huge void by introducing 10 excellent chapters...” (Toshio Fukuda, Fellow IEEE, IEEE President 2020)
“This timely book on sensor-based activity recognition will serve as an excellent overview of the state of the art and a roadmap for what is to come in this area... I highly recommend it.” (Matthew Turk, Fellow: IEEE, IAPR, President, Toyota Technological Institute at Chicago)
“...We also now have the IEEE Transactions on Biometrics Behavior and Identity Science. And now we have a book on Sensor-based Activity Recognition. Enjoy!!” (Mark Nixon, Fellow: IET, IAPR, BMVA, University of Southampton)
“...brings together successfully different aspects and use of IoT sensors in ...(HAR).” (Mohammad Karim, Fellow: IEEE, OSA, SPIE, Provost, Executive VC, University of Massachusetts Dartmouth)
“The chapters are structured well, with excellent illustrations, and activities for use in a graduate or upper-level undergraduate course.” (Sudeep Sarkar, Fellow: AAAS, IEEE, AIMBE, IAPR, University of South Florida)
“The book is a timely, badly needed, and important treatise on IoT and sensors.” (Witold Pedrycz, IEEE Fellow, University of Alberta)
“Great work! I especially like the multifaceted approach...” (Kristof Van Laerhoven, University of Siegen)
“One of the most comprehensive, easy-to-read book... Both researchers and practitioners should read this book to grasp its critical ideas and recent advancement.” (Atsushi Inoue, Eastern Washington University)
“...a must-read... No other book has presented results of this research in a more convincing way.” (Anton Nijholt, University of Twente)
“...made this book a must-read.” (Mahbub Hassan, University of New South Wales)
“An excellent book...” (Vishal M. Patel, Johns Hopkins University)
“...who are new to the IoT world will greatly benefit from this comprehensive volume...” (Walter J. Scheirer, University of Notre Dame)
“...very good first read for any newcomer.” (Upal Mahbub, Qualcomm Tech.)
Authors and Affiliations
Bibliographic Information
Book Title: IoT Sensor-Based Activity Recognition
Book Subtitle: Human Activity Recognition
Authors: Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-030-51379-5
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-51378-8Published: 31 July 2020
Softcover ISBN: 978-3-030-51381-8Published: 01 August 2021
eBook ISBN: 978-3-030-51379-5Published: 30 July 2020
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XXXIV, 189
Number of Illustrations: 11 b/w illustrations, 52 illustrations in colour
Topics: Data Engineering, Cyber-physical systems, IoT, Computational Intelligence, Signal, Image and Speech Processing, User Interfaces and Human Computer Interaction