基于特征融合的步态识别

基于人行走时下肢关节角度变化包含丰富的个体识别信息的观点,提出了一种利用下肢关节角度进行识别的方法。利用下肢关节角度来表征步态运动的动态特征,并用主分量分析进行特征提取来表征步态的静态特征,其次融合步态运动中的静态特征和动态特征,采用对小样本具有很好分类效果的支持向量机进行分类识别。对算法进行MATLAB仿真,结果表明所用方法具有较高的识别性能。

Research on Gait Recognition Based on Feature Fusion

Based on the idea that lower limb angles of motion body contain rich information of human identificadon,a gait recognition method based on lower limb angles was proposed.The joint points of the human body can be a good characterization of gait characteristics,so a new algorithm is proposed in this paper.We describe the dynamic characteristics with joint angles of low limb,and PCA for feature extraction to characterize the static features,integration of static characteristics and dynamic characteristics,and use SVM for classification and recognition.The results show that the method has a high recognition performance.