神经模糊步态分析系统在外骨骼智能鞋垫中的实现

2018 4th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2018-11-01 DOI:10.1109/GTSD.2018.8595659

D. Phu, Ta Duc Huy, Tran Hoang Ha

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引用次数: 2

摘要

本研究提出了一种神经模糊模型在外骨骼智能鞋垫中的实现，以提取用于控制的特征。这些特征是根据人的行走状态找到的。在区间2型模糊的基础上，应用模糊C均值模型。智能鞋垫的步态阶段在人体运动的步态周期内进行分析。由于步态阶段之间存在边界，因此采用模糊推理来寻找这些变化。此外，神经网络结构作为模糊隶属函数参数及其权值的训练角色。结果表明，神经模糊模型对人体运动状态的滤波率为98.14%。

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An Implementation of Neuro-Fuzzy System for Gait Analysis in a Smart Insole of Exoskeleton

This study presents an implementation of neuro-fuzzy model in a smart insole for exoskeleton to extract features using for control. The features are found based on the walking state of the human. The model of fuzzy C means is applied based on the interval type 2 fuzzy. The gait phases of the smart insole are analyzed within a gait cycle of human motion. Due to the boundaries among the gait phases, fuzzy inference is used for finding these variations. In addition, the neural network structure uses as the training role for both the fuzzy membership function parameters and its weights. The results show that states of human motions can be filtered by the neuro-fuzzy model at 98.14%.

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2018 4th International Conference on Green Technology and Sustainable Development (GTSD)

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