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2024 | OriginalPaper | Chapter

3. XAmI Applications to Smart Homes

Author : Tin-Chih Toly Chen

Published in: Explainable Ambient Intelligence (XAmI)

Publisher: Springer Nature Switzerland

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Abstract

The chapter delves into the integration of AI technologies, particularly fuzzy logic and artificial neural networks, in smart home environments. It discusses how these AI applications can optimize energy consumption and enhance the control of smart home appliances. Fuzzy logic systems, such as the Mamdani FIS, are used to manage energy based on environmental factors like sunlight and wind. Artificial neural networks, including recurrent neural networks (RNNs), are employed to predict user behavior and automate appliance settings. The chapter also highlights the challenges and solutions in fall detection systems within smart homes, emphasizing the importance of accurate and efficient algorithms. Additionally, it explores techniques for handling big data collected by smart home sensors and methods for evaluating the suitability of smart home applications. The chapter concludes with a discussion on the explainability of AI applications in smart homes, providing insights into how fuzzy inference rules and neural networks can be interpreted and approximated.
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Metadata
Title
XAmI Applications to Smart Homes
Author
Tin-Chih Toly Chen
Copyright Year
2024
Book
Explainable Ambient Intelligence (XAmI)

Print ISBN: 978-3-031-54934-2

Electronic ISBN: 978-3-031-54935-9

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-54935-9_3

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