Estimation of next behavior and its timing based on human behavior model with time series signal
Estimation of next behavior and its timing based on human behavior model with time series signal
复制标题
基于时间序列信号人类行为模型的下一个行为及其时间估计
DOI：
10.1109/cica.2011.5945748
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
T. Ohtsuka
中科院分区：
文献类型：
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作者：
K. Doki;K. Hashimoto;S. Doki;S. Okuma;T. Ohtsuka
本文提出了一种新的人类行为建模方法。在本文提出的方法中，假设一个人会随着周围环境的变化而改变自己的行为，这一概念用If-Then-Rules来表达，称为行为规则。在行为规则中，人的行为被描述为一个离散事件，人周围环境的变化被隐马尔可夫模型（HMM）描述，隐马尔可夫模型对多维时间序列感知数据进行建模。此外，基于所提出的人类行为模型，提出了下一个人类行为及其执行时间的早期估计方法。在本研究中，以无线电控制车辆的人为操作为例，对该模型进行了应用。通过构建的行为模型进行行为估计的实验结果，验证了所提方法的有效性。
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.