Wellness protocol for smart homes : an integrated framework for ambient assisted living

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...

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Bibliographic Details
Main Authors: Ghayvat, Hemant, (Author), Mukhopadhyay, Subhas Chandra, (Author)
Format: eBook
Language: English
Published: Cham : Springer, 2017.
Series: Smart sensors, measurement and instrumentation ; 24.
Subjects:
ISBN: 9783319520483
9783319520476
Physical Description: 1 online resource

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Summary: 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.
Bibliography: Includes bibliographical references.
ISBN: 9783319520483
9783319520476
ISSN: 2194-8402 ;
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty