Authors:
- Implements a novel integrated method for detecting the wellness of individuals
- Presents new developments and advancements in wireless sensors for the field of ambient assisted living
- Examines emerging applications in a broad range of fields
- Includes supplementary material: sn.pub/extras
Part of the book series: Smart Sensors, Measurement and Instrumentation (SSMI, volume 24)
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Table of contents (7 chapters)
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Front Matter
About this book
This book focuses on the development of wellness protocols for smart home monitoring, aiming to forecast the wellness of individuals living in ambient assisted living (AAL) environments. It describes in detail the design and implementation of heterogeneous wireless sensors and networks as applied to data mining and machine learning, which the protocols are based on. Further, it shows how these sensor and actuator nodes are deployed in the home environment, generating real-time data on object usage and other movements inside the home, and therefore demonstrates that the protocols have proven to offer a reliable, efficient, flexible, and economical solution for smart home systems.
Documenting the approach from sensor to decision making and information generation, the book addresses various issues concerning interference mitigation, errors, security and large data handling. As such, it offers a valuable resource for researchers, students and practitioners interested in interdisciplinary studies at the intersection of wireless sensing processing, radio communication, the Internet of Things and machine learning, and in how they can be applied to smart home monitoring and assisted living environments.Authors and Affiliations
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Massey University, Palmerston North, New Zealand
Hemant Ghayvat
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Department of Engineering, Macquarie University, Sydney, Australia
Subhas Chandra Mukhopadhyay
Bibliographic Information
Book Title: Wellness Protocol for Smart Homes
Book Subtitle: An Integrated Framework for Ambient Assisted Living
Authors: Hemant Ghayvat, Subhas Chandra Mukhopadhyay
Series Title: Smart Sensors, Measurement and Instrumentation
DOI: https://doi.org/10.1007/978-3-319-52048-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-52047-6Published: 12 January 2017
Softcover ISBN: 978-3-319-84806-8Published: 07 July 2018
eBook ISBN: 978-3-319-52048-3Published: 05 January 2017
Series ISSN: 2194-8402
Series E-ISSN: 2194-8410
Edition Number: 1
Number of Pages: XI, 160
Number of Illustrations: 115 illustrations in colour
Topics: Electronics and Microelectronics, Instrumentation, Measurement Science and Instrumentation, Data Mining and Knowledge Discovery, Biomedical Engineering and Bioengineering, Monitoring/Environmental Analysis