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Estimation of next behavior and its timing based on human behavior model with time series signal

机译:基于时间序列信号的人为行为模型的下一个行为及其时序估算

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A new modeling method of human behaviors is proposed in this paper. In the proposed method, it is assumed that a person changes his behavior according to the change of the situation around him, and this concept is expressed by If-Then-Rules, which are called behavior rules. In behavior rules, a human behavior is described as a discrete event, and the change of the situation around a person is described by Hidden Markov Model (HMM) which models multi-dimensional time series sensing data. Moreover, and early estimation method of the next human behavior and the timing of its execution is proposed based on the proposed human behavior model. In this research, human operations of a radio controlled vehicle are modeled as an example of application of the proposed model. The usefulness of the proposed method is examined through experimental results of behavior estimation with the constructed behavior model.
机译:本文提出了一种新的人类造型方法。 在提出的方法中,假设一个人根据他周围的情况的变化改变他的行为,并且这种概念由If-then-trual表示,这些概念被称为行为规则。 在行为规则中,人类行为被描述为离散事件,并且通过模拟多维时间序列感测数据的隐马尔可夫模型(HMM)描述了一个人周围的情况的变化。 此外,基于所提出的人行为模型提出了下一个人行为的早期估计方法和其执行的时间。 在该研究中,无线电控制车辆的人工操作被建模为所提出的模型的应用示例。 通过用构造行为模型的行为估计的实验结果检查所提出的方法的有用性。

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