Wellness Protocol for Smart Homes

An Integrated Framework for Ambient Assisted Living

Nonfiction, Science & Nature, Science, Other Sciences, Weights & Measures, Technology, Electronics
Cover of the book Wellness Protocol for Smart Homes by Hemant Ghayvat, Subhas Chandra Mukhopadhyay, Springer International Publishing
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Author: Hemant Ghayvat, Subhas Chandra Mukhopadhyay ISBN: 9783319520483
Publisher: Springer International Publishing Publication: January 5, 2017
Imprint: Springer Language: English
Author: Hemant Ghayvat, Subhas Chandra Mukhopadhyay
ISBN: 9783319520483
Publisher: Springer International Publishing
Publication: January 5, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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