人类步态分析参数:综述

Salisu Ibrahim Yusuf, Steve Adeshina Ph.D, Moussa Mahamat Boukar
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引用次数: 3

摘要

步态分析通过应用信号处理、机器学习和计算机视觉等方法,被用于医学、生物机械、机器人等各个领域的识别、识别、行为分析。人体步态分析是通过提取人体特征,分析感兴趣的行为来完成的。在这项调查中,我们确定了研究人员考虑的几个特征和方法,确定了力量和局限性,调查发现上半身是步态分析的更好数据源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameters for Human Gait Analysis: A Review
Analysis of human walking behavior gait analysis is being used for identification, recognition, behavioral analysis in various fields such as medicine, bio mechanical, robotics, through the application of signal processing, machine learning and computer visions methods. The human gait analysis is done by extracting features from the body, analyzing behavior of interest. In this survey we identify several features and methods considered by researchers, identifying strength and limitations, the survey found that the upper body is a better data source for gait analysis.
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