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Learning Structure of Human Behavior Patterns in a Smart Home System

  • Conference paper
Book cover Quantitative Logic and Soft Computing 2010

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 82))

Abstract

A growing proportion of the aged in population provokes shortage of caregivers and restructuring of living spaces. One of the most promising solutions is to provide with a smart home environment that ensures independence of users. In this paper, we first call attention to the fact that a learning capability of human behavior patterns can play a central role in adequate functioning of such systems. Specifically, we give an overview of important related studies to illustrate how a variety of learning functions can be successfully incorporated into the smart home environment. We then present our approaches towards the issues of life-long learning and non-supervised learning, which are considered essential aspects of a smart home system. The two learning schemes are shown to be satisfactory in facilitating independent living over different time scales and with less human intervention. Finally, we mention about a prospective model of a future smart home.

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, Ulsan National Institute of Science Technology, Ulsan, 689-805, Korea

    Zeungnam Bien

  2. Neuro System Research Group, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea

    Sang Wan Lee

Authors
  1. Zeungnam Bien
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  2. Sang Wan Lee
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Editor information

Editors and Affiliations

  1. Guangzhou University, Guangdong, China

    Bing-yuan Cao

  2. Shaanxi Normal University, Xi’an, China

    Guo-jun Wang

  3. Jimei University, Fujian, China

    Shui-li Chen

  4. Liaoning Technical University, Fuxing, China

    Si-zong Guo

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Bien, Z., Lee, S.W. (2010). Learning Structure of Human Behavior Patterns in a Smart Home System. In: Cao, By., Wang, Gj., Chen, Sl., Guo, Sz. (eds) Quantitative Logic and Soft Computing 2010. Advances in Intelligent and Soft Computing, vol 82. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15660-1_1

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  • DOI: https://doi.org/10.1007/978-3-642-15660-1_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15659-5

  • Online ISBN: 978-3-642-15660-1

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