Springer IoT Sensor-Based Activity Recognition: Human Activity Recognition: 173 (Intelligent Systems Reference Library, 173)

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.  Review “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.) From the Back Cover 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.