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Wellness protocol for smart homesan ...
~
Ghayvat, Hemant.
Wellness protocol for smart homesan integrated framework for ambient assisted living /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Wellness protocol for smart homesby Hemant Ghayvat, Subhas Chandra Mukhopadhyay.
Reminder of title:
an integrated framework for ambient assisted living /
Author:
Ghayvat, Hemant.
other author:
Mukhopadhyay, Subhas Chandra.
Published:
Cham :Springer International Publishing :2017.
Description:
xi, 160 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Home automation.
Online resource:
http://dx.doi.org/10.1007/978-3-319-52048-3
ISBN:
9783319520483$q(electronic bk.)
Wellness protocol for smart homesan integrated framework for ambient assisted living /
Ghayvat, Hemant.
Wellness protocol for smart homes
an integrated framework for ambient assisted living /[electronic resource] :by Hemant Ghayvat, Subhas Chandra Mukhopadhyay. - Cham :Springer International Publishing :2017. - xi, 160 p. :ill., digital ;24 cm. - Smart sensors, measurement and instrumentation,v.242194-8402 ;. - Smart sensors, measurement and instrumentation ;v.8..
Introduction -- Literature Survey -- Wellness Protocol Development and Implementation -- Issues and Mitigation of WSNs-based Smart Building Systems -- Activity Detection and Wellness Pattern Generation -- Wellness Pattern Generation and Forecasting -- Conclusion and Future Works.
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.
ISBN: 9783319520483$q(electronic bk.)
Standard No.: 10.1007/978-3-319-52048-3doiSubjects--Topical Terms:
238173
Home automation.
LC Class. No.: TK7881.25
Dewey Class. No.: 643.6
Wellness protocol for smart homesan integrated framework for ambient assisted living /
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Introduction -- Literature Survey -- Wellness Protocol Development and Implementation -- Issues and Mitigation of WSNs-based Smart Building Systems -- Activity Detection and Wellness Pattern Generation -- Wellness Pattern Generation and Forecasting -- Conclusion and Future Works.
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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.
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Engineering (Springer-11647)
based on 0 review(s)
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電子館藏
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EB TK7881.25 G411 2017
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http://dx.doi.org/10.1007/978-3-319-52048-3
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