基于过程神经网络的步态模式自动分类

为克服步态辨识中特征向量法存在的步态特征难于提取、计算量大和算法复杂等局限,提出一种基于过程神经网络的步态模式自动分类综合方案.为感知人体步态,在测试者下肢安装加速度传感器来采集步行过程中的时序运动学信息.采用巴特沃斯滤波处理并将其拟合为时变函数直接输入到过程神经网络,利用其对任意连续泛函的逼近能力来实现对不同步态模式...

Automated Classification of Gait Patterns Based on Process Neural Networks

A general scheme for automated classification of gait patterns based on process neural networks is proposed to overcome limitations of the feature vector approach,including difficulty in feature selection,heavy computing load,and complexity of recognition algorithms.Initial human gait capture was done using accelerometers mounted on the lower limbs of a subject to obtain kinematic information for various gait patterns.Using a Butterworth filter,a time-series acceleration signal was processed,then fitted as ...