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Localization of human based on fuzzy spiking neural network in informationally structured space

机译:信息结构空间中基于模糊尖峰神经网络的人的定位

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This paper proposes a human localization method in informationally structured space based on sensor network First, we explain informationally structured space, robot partners, and sensor networks developed in this study. Next, we apply a fuzzy spiking neural network to extract a person from the measured data by the sensor network. Furthermore, we propose a learning method of fuzzy spiking neural network based on the time series of measured data. Finally, we discuss the effectiveness of the proposed methods through experimental results in a living room.
机译:本文提出了一种基于传感器网络的信息结构化空间中的人类定位方法。首先,我们解释了信息结构化空间,机器人伙伴以及本研究中开发的传感器网络。接下来,我们应用模糊尖峰神经网络通过传感器网络从测量数据中提取一个人。此外,我们提出了一种基于测量数据时间序列的模糊尖峰神经网络的学习方法。最后,我们通过在客厅中的实验结果来讨论所提出方法的有效性。

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