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Intelligent Systems Reference Library

IoT Sensor-Based Activity Recognition

Human Activity Recognition

Authors: Ahad, Md Atiqur Rahman, Antar, Anindya Das, Ahmed, Masud

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  • 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
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eBook $109.00
price for USA in USD
  • ISBN 978-3-030-51379-5
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  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-030-51378-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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.)​

Table of contents (10 chapters)

Table of contents (10 chapters)
  • Introduction on Sensor-Based Human Activity Analysis: Background

    Pages 1-12

    Ahad, Md Atiqur Rahman (et al.)

  • Basic Structure for Human Activity Recognition Systems: Preprocessing and Segmentation

    Pages 13-25

    Ahad, Md Atiqur Rahman (et al.)

  • Methodology of Activity Recognition: Features and Learning Methods

    Pages 27-62

    Ahad, Md Atiqur Rahman (et al.)

  • Human Activity Recognition: Data Collection and Design Issues

    Pages 63-75

    Ahad, Md Atiqur Rahman (et al.)

  • Devices and Application Tools for Activity Recognition: Sensor Deployment and Primary Concerns

    Pages 77-94

    Ahad, Md Atiqur Rahman (et al.)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-030-51379-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-030-51378-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
IoT Sensor-Based Activity Recognition
Book Subtitle
Human Activity Recognition
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
173
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-51379-5
DOI
10.1007/978-3-030-51379-5
Hardcover ISBN
978-3-030-51378-8
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XXXIV, 189
Number of Illustrations
11 b/w illustrations, 52 illustrations in colour
Topics

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