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DEVELOPMENT OF HUMAN DAILY BEHAVIOR MODEL AND IT'S APPLICATION

机译:人的日常行为模型的发展及其应用

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In this paper, we will discuss the problem how human behavior at home could be detected and how its model could be constructed. Understanding human behavior or action is important to establish a new technology that focuses on individual behaviors. Especially, it is necessary to know human habitual behavior in order to improve life environment. In actual environment, many electric appliances, e.g. TV set, washing machine, microwave stove, used at home. In this study, in order to ˉnd human habitual behavior, a sensor for electric appliance is used provided that there exist some relations between turning on/o? those electric appliances and our action. Using primitive information of turning on/o?, we describe human behavior at home by a binary matrix and uses neural network to express human state at home. The simulation results show that the proposed method has good performance to detect human irregular behavior at home.
机译:在本文中,我们将讨论如何检测家庭中的人类行为以及如何构建其模型的问题。了解人类行为或行动对于建立专注于个人行为的新技术很重要。特别地,有必要了解人类的习惯行为以改善生活环境。在实际环境中,许多电器例如电视机,洗衣机,微波炉,在家中使用。在这项研究中,为了发现人类的习惯行为,只要开/关之间存在某种关系,就可以使用用于电器的传感器。这些电器和我们的行动。使用打开/关闭的原始信息,我们通过二进制矩阵描述人类在家里的行为,并使用神经网络来表达人类在家里的状态。仿真结果表明,该方法具有良好的检测人居不规则行为的性能。

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