Sensor Technology for Smart Homes

Edited by
April 2021
222 pages
  • ISBN978-3-0365-0248-9 (Hardback)
  • ISBN978-3-0365-0249-6 (PDF)

This book is a reprint of the Special Issue Sensor Technology for Smart Homes that was published in

Chemistry & Materials Science
Environmental & Earth Sciences
This Special Issue presents the recent advances in sensor technologies for smart homes, including fiber Bragg grating (FBG) sensors for detecting the presence and number of occupants, the Internet of things for monitoring CO2 concentration, and designing a novel eye-tracking system for monitoring and controlling a smart home, and infrared thermal sensors for fall detection. Such new explorations are pushing the boundary of sensing technologies and, thus, will have more profound implications for the future smart home. Advanced machine learning and data mining algorithms have been proposed to address sensor failure, appliance identification, and human activity recognition in a home environment. These results will enable a promising, sustainable deployment of sensing technologies. A novel multi-agent gamification system is proposed for managing tasks between household members and between families, which demonstrate another dimension of future smart home application. This Special Issue concludes with a review on sensors for human activity recognition. This work paves the roadmap for deploying smart home systems in different socioeconomic contexts. The whole Special Issue has significantly helped to shape our understanding of the strength, implications, and barriers of deploying long-term, sustainable, sensor technologies for smart homes.
  • Hardback
© by the authors
human–machine interface (HMI); human–computer interaction (HCI); smart home; eye tracking; assistive technology; usability evaluation; user-centered design (UCD); home automation; Internet of Things (IoT); smart home; occupant activity recognition; channel state information (CSI); Wi-Fi; housing environment; heuristic; gamification; Internet of things; artificial intelligence; multi–agents solution; NIALM; smart home; electrical appliances; home events; load disaggregation; sensing technologies; intelligent algorithms; human behavior; fall detection; public dataset; thermal sensor; infrared sensor; smart home; smart home (SH); prediction; artificial neural network (ANN); fiber bragg grating (FBG); occupancy; number of person recognition; scaled conjugate gradient (SCG); intelligent buildings; wavelet transformation; prediction; artificial neural network; multilayer perceptron; cloud computing; Internet of Things; smart home; smart home; AAL; ambient assisted living; activity recognition; hardware; review; ambient assisted living; enhanced living environments; sensor failure; fault detection; fault isolation; smart home; non-intrusive sensors; binary sensors; event-driven sensors; n/a