吉林大学学报(工学版) ›› 2020, Vol. 50 ›› Issue (1): 1-18.doi: 10.13229/j.cnki.jdxbgxb20190264
• 综述 •
Yi-bin LI1(),Jia-min GUO1,Qin ZHANG1,2()
摘要:
针对人体步态识别,从步态数据采集仪器、常见步态数据集、步态参数提取和步态识别方法4个方面分别展开综述。首先,介绍常用的步态数据采集仪器的优缺点、可靠性和应用场景;其次,从建立机构、样本容量、采样率、环境、仪器和变量6个方面对常用的步态数据集进行对比分析;然后,将现有步态参数提取方法分为基于模型的方法和基于非模型的方法进行详细阐述,进而在步态识别算法方面分别从支持向量机、自编码器和卷积神经网络三方面进行介绍,并对上述方法从身份识别和异常步态辨识两个应用方向分别展开对比;最后,结合实际应用指出当前研究存在的不足和未来的发展方向。
中图分类号:
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