MATLAB Kinect骨骼跟踪系统(MKSTS)步态分析的开发

Wan Zharfan Bin Wan Zainal Abiddin, Rozita Jailani, A. R. Omar, I. Yassin
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引用次数: 16

摘要

目前的步态分析系统价格昂贵,需要很大的空间和良好的控制环境,这限制了测量的实验室设置,如ViCON运动分析系统。提出了一种经济可行的步态分析系统替代方法,利用MATLAB编程软件和Microsoft Kinect传感器开发MATLAB Kinect骨骼跟踪系统(MKSTS),在不需要标记的情况下,根据人体关节的像素坐标积累重要的步态参数。研究了MKSTS作为确定步态参数的一种替代方法的有效性,并与ViCON运动分析系统进行了比较。通过ViCON运动分析系统和MKSTS同时测量健康受试者沿Kistler力板行走的下肢运动学数据。在一个完整的步态周期内,从两个装置中提取右髋关节和右膝关节角度的步态参数,并进行图形化比较。结果表明,与ViCON运动分析系统作为参考测量值相比,MKSTS对右臀角和右膝角的相关系数分别为0.996和0.987。因此,MKSTS能够测量步态参数,尽管精度存在较大误差。综上所述,研究结果表明,根据所需的精度水平,MKSTS可以作为确定步态参数的替代方法。然后,MKSTS将进一步发展,用于远程康复系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of MATLAB Kinect Skeletal Tracking System (MKSTS) for gait analysis
Current gait analysis systems are expensive and require large space with well controlled environments, which limits the measurement to laboratory settings such as ViCON motion analysis system. An economical alternative method of gait analysis system is proposed, in which MATLAB Kinect Skeletal Tracking System (MKSTS) is developed using MATLAB programming software and Microsoft Kinect Sensor to accumulate the important gait parameters based on the pixel coordinates of the body joints which requires no markers. The validity of MKSTS as an alternative method in determining the gait parameters is investigated and compared to ViCON motion analysis system. A healthy participant walked along the Kistler force plate with her lower limb kinematics data are measured by ViCON motion analysis system and MKSTS concurrently. Gait parameters of right hip and right knee joint angles were extracted from both devices and compared graphically in a period of one complete gait cycle. The results indicated that the correlation coefficients of MKSTS were 0.996 for right hip angles and 0.987 for right knee angles compared to ViCON motion analysis system as reference measurement. Therefore, MKSTS is able to measure the gait parameters, though there was a substantial error in accuracy. As a conclusion, the result of the research suggests that MKSTS is valid to be used as an alternative method in determining the gait parameters, depending on the required accuracy level. MKSTS will then further developed to be implemented into telerehabilitation system.
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