Hemant Ghayvat & Subhas Chandra Mukhopadhyay 
Wellness Protocol for Smart Homes [PDF ebook] 
An Integrated Framework for Ambient Assisted Living

Support

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.

€117.69
payment methods

Table of Content

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.

Buy this ebook and get 1 more FREE!
Language English ● Format PDF ● Pages 160 ● ISBN 9783319520483 ● File size 7.1 MB ● Publisher Springer International Publishing ● City Cham ● Country CH ● Published 2017 ● Downloadable 24 months ● Currency EUR ● ID 5036082 ● Copy protection Social DRM

More ebooks from the same author(s) / Editor

18,802 Ebooks in this category