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An Algorithm Based on Neuro-Fuzzy Controller Implemented in A Smart Clothing System For Obstacle Avoidance

机译:智能服装系统中基于神经模糊控制器的避障算法

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摘要

In this study, to overcome navigation concerns of visually impaired people, an algorithm based on neuro-fuzzy controller composed of multi-layer fuzzy inference systems (FIS) for obstacle avoidance was developed and it was implemented in a smart clothing system. The success of the proposed algorithm was tested in real environment and it was compared with one layer FIS. Results showed that the proposed algorithm is capable of guiding user to a right orientation and it presented better results than the one layer FIS.
机译:在这项研究中,为了克服视觉障碍者的导航问题,开发了一种基于神经模糊控制器的算法,该算法由多层模糊推理系统(FIS)组成,用于避障,并在智能服装系统中实现。在实际环境中测试了该算法的成功性,并与一层FIS进行了比较。结果表明,所提出的算法能够指导用户正确定向,并且比单层FIS呈现更好的结果。

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