计算机工程 ›› 2012, Vol. 38 ›› Issue (14): 132-134.doi: 10.3969/j.issn.1000-3428.2012.14.039

• 人工智能及识别技术 • 上一篇    下一篇

基于行走时脚摆角的步态识别方法

李一波,卑珊珊,刘婉竹,刘金英   

  1. (沈阳航空航天大学自动化学院,沈阳 110136)
  • 收稿日期:2011-11-14 出版日期:2012-07-20 发布日期:2012-07-20
  • 作者简介:李一波(1963-),男,教授、博士后,主研方向:图像处理,模式识别,工业自动化,电子与协同商务,飞行控制;卑珊珊、刘婉竹、刘金英,硕士研究生
  • 基金项目:
    国家自然科学基金资助项目(61103123)

Gait Identification Method Based on Deflection Angle of Feet When Walking

LI Yi-bo, BEI Shan-shan, LIU Wan-zhu, LIU Jin-ying   

  1. (School of Automation, Shenyang Aerospace University, Shenyang 110136, China)
  • Received:2011-11-14 Online:2012-07-20 Published:2012-07-20

摘要: 提出一种利用脚摆动特征进行步态识别的方法。对步态序列图像进行背景提取、图像差分、阈值分割、形态学后处理后,提取行走时的脚摆角作为特征参数,再分别采用BP神经网络、最近邻分类器和K近邻分类器法对这些特征数据进行识别分类与比较分析。实验结果表明,与同类方法相比,该方法可以更快速地进行步态识别,且识别性能较好。

关键词: 步态识别, 脚摆角, BP神经网络, 最近邻分类器, K近邻分类器

Abstract: This paper proposes a gait recognition method based on foot swing characteristics. It conducts background subtraction, image difference, threshold segmentation, morphological post-processing, and then extracts the angle which is defined by the toe swing around heel as the characteristic parameter. These parameters are used for identifying by using Back Propagation(BP) neural network, Nearest Neighbor(NN) classifier and K-nearest neighbor classifier respectively. Experimental results show that considering foot swing angle as gait characteristic provides a quick and simple solution of gait recognition.

Key words: gait recognition, deflection angle of feet, Back Propagation(BP) neural network, Nearest Neighbor(NN) classifier, K-Nearest Neighbor(KNN) classifier

中图分类号: