Development of human daily behavior model and it's application
| Authors: | Shimada Yasuyuki, Kumamoto National College of Technology, Japan
Matsumoto Tsutomu, Kumamoto National College of Technology, Japan
Kawaji Shigeyasu, Graduate School of Science and Technology, Kumamoto University, Japan |
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| Topic: | 4.5 Human Machine Systems |
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| Session: | Applications for Human-Machine Systems |
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| Keywords: | habitual behavior, human behavior-based system, human behavior model, neural network |
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Abstract
In this paper, we will discuss the problem how human behavior at homecould be detected and how its model could be constructed.Understanding human behavior or action is important to establish a newtechnology that focuses on individual behaviors. Especially, it isnecessary to know human habitual behavior in order to improve lifeenvironment. In actual environment, many electric appliances, e.g. TVset, washing machine, microwave stove, used at home. Inthis study, in order to find human habitual behavior, a sensor forelectric appliance is used provided that there exist some relationsbetween turning on/off those electric appliances and our action. Usingprimitive information of turning on/off, we describe human behavior athome by a binary matrix and uses neural network to express human stateat home. The simulation results show that the proposed method has goodperformance to detect human irregular behavior at home.
