Overview
- Recent research on the design and modelling of smart homes
- Presents a model for a framework integrating temporal and spatial contextual information for determining the wellness of an elderly person in a smart home
- Describes a novel behaviour-detection process based on the observed sensor data in performing essential daily activities has been designed and developed
Part of the book series: Smart Sensors, Measurement and Instrumentation (SSMI, volume 14)
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
The book addresses issues towards the design and development of Wireless Sensor Network based Smart Home and fusion of Real-Time Data for Wellness Determination of an elderly person living alone in a Smart Home. The fundamentals of selection of sensor, fusion of sensor data, system design, modelling, characterizations, experimental investigations and analyses have been covered. This book will be extremely useful for the engineers and researchers especially higher undergraduate, postgraduate students as well as practitioners working on the development of Wireless Sensor Networks, Internet of Things and Data Mining.
Reviews
“This book presents research design, implementation case studies, and next challenges for AAL with regard to smart homes. … this book is very resourceful for readers interested in smart home-based elderly care research as well as system design.” (Debraj De, Computing Reviews, March, 2016)
Authors and Affiliations
Bibliographic Information
Book Title: Smart Homes
Book Subtitle: Design, Implementation and Issues
Authors: Nagender Kumar Suryadevara, Subhas Chandra Mukhopadhyay
Series Title: Smart Sensors, Measurement and Instrumentation
DOI: https://doi.org/10.1007/978-3-319-13557-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-13556-4Published: 19 January 2015
Softcover ISBN: 978-3-319-36524-4Published: 24 September 2016
eBook ISBN: 978-3-319-13557-1Published: 02 January 2015
Series ISSN: 2194-8402
Series E-ISSN: 2194-8410
Edition Number: 1
Number of Pages: XII, 180
Number of Illustrations: 71 b/w illustrations, 2 illustrations in colour
Topics: Computational Intelligence, Signal, Image and Speech Processing, Artificial Intelligence, Electronics and Microelectronics, Instrumentation, Geriatrics/Gerontology