Wellness Protocol for Smart Homes: An Integrated Framework for Ambient Assisted Living

✍ Scribed by Hemant Ghayvat, Subhas Chandra Mukhopadhyay (auth.)

• Publisher: Springer International Publishing
• Year: 2017
• Tongue: English
• Leaves: 165
• Series: Smart Sensors, Measurement and Instrumentation 24
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xi
Introduction....Pages 1-11
Literature Survey....Pages 13-51
Wellness Protocol Development and Implementation....Pages 53-91
Issues and Mitigation of WSNs-Based Smart Building System....Pages 93-120
Activity Detection and Wellness Pattern Generation....Pages 121-143
Wellness Pattern Generation and Forecasting....Pages 145-157
Conclusion and Future Works....Pages 159-160

✦ Subjects

Electronics and Microelectronics, Instrumentation;Measurement Science and Instrumentation;Data Mining and Knowledge Discovery;Biomedical Engineering;Monitoring/Environmental Analysis