摘要
步态分析与评价是人类保健和康复的重要研究内容,运动学分析方法是步态分析中最有效最准确最直接的方法,因而被广泛采用。步态特征的提取是运动学分析方法的关键技术,也是进一步进行步态分析的基础。首先给出了人类行走的三维模型,接着提出一套从人类行走的运动学数据中提取相关步态特征的方法,包括步态周期特征和脚印特征的提取方法,最后对20到60岁年龄段的44个人的运动学数据进行分析,实验结果证明这套方法具有很高的准确性和实用性。
Gait analysis and evaluation is one of important focuses in human health and rehabilitation, kinematics analysis method is the most effective, accurate and direct way in gait analysis, so it has been used extensively. Gait feature extracting is the key technology of kinematics analysis method, and also is the foundation to further gait analysis. In this paper it firstly presents a three-dimension model of human walking, and then provides a set of gait feature extracting methods based on the data of kinematics, including gait cycle feature and footprint feature extracting methods. Finally, the kinematics data of 44 individuals, 20-60 age old, are analyzed. The experimental results show that these methods are of high accuracy and practicality.
出处
《计算机应用与软件》
CSCD
2009年第5期198-201,217,共5页
Computer Applications and Software
关键词
人类行走模型
步态特征提取
周期特征
脚印特征
Human walking model Gait feature extraction Cycle feature Footprint feature
