© 2017

Wellness Protocol for Smart Homes

An Integrated Framework for Ambient Assisted Living

  • Implements a novel integrated method for detecting the wellness of individuals

  • Presents new developments and advancements in wireless sensors for the field of ambient assisted living

  • Examines emerging applications in a broad range of fields


Part of the Smart Sensors, Measurement and Instrumentation book series (SSMI, volume 24)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Hemant Ghayvat, Subhas Chandra Mukhopadhyay
    Pages 1-11
  3. Hemant Ghayvat, Subhas Chandra Mukhopadhyay
    Pages 13-51
  4. Hemant Ghayvat, Subhas Chandra Mukhopadhyay
    Pages 53-91
  5. Hemant Ghayvat, Subhas Chandra Mukhopadhyay
    Pages 93-120
  6. Hemant Ghayvat, Subhas Chandra Mukhopadhyay
    Pages 121-143
  7. Hemant Ghayvat, Subhas Chandra Mukhopadhyay
    Pages 145-157
  8. Hemant Ghayvat, Subhas Chandra Mukhopadhyay
    Pages 159-160

About this book


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.


Interference Mitigation Wireless Sensing Smart Home Monitoring Internet of Things Wireless Sensor Networks Healthcare Technologies Ambient Assisted Living systems AAL system

Authors and affiliations

  1. 1.Massey UniversityPalmerston NorthNew Zealand
  2. 2.Department of EngineeringMacquarie UniversitySydneyAustralia

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