Wellness Protocol for Smart Homes - An Integrated Framework for Ambient Assisted Living (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Smart Sensors, Measurement and Instrumentation, 24
Release date:	2017
First published:	2017
Authors:	Hemant Ghayvat • Subhas Chandra Mukhopadhyay
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Hardcover
Pages:	160
Edition:	1st ed. 2017
ISBN-13:	978-3-319-52047-6
Categories:	Books > Science & Mathematics > Science: general issues > Scientific standards Books > Professional & Technical > Environmental engineering & technology > Environmental monitoring Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-319-52047-4
Barcode:	9783319520476

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