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The measurement of in vivo joint angles during a squat using a single camera markerless motion capture system as compared to a marker based system

机译:与基于标记的系统相比,使用单个相机无标记运动捕获系统对下蹲期间的体内关节角度进行测量

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Markerless motion capture may have the potential to make motion capture technology widely clinically practical. However, the ability of a single markerless camera system to quantify clinically relevant, lower extremity joint angles has not been studied in vivo. Therefore, the goal of this study was to compare in vivo joint angles calculated using a marker-based motion capture system and a Microsoft Kinect during a squat. Fifteen individuals participated in the study: 8 male, 7 female, height 1.702 +/- 0.089 m, mass 67.9 +/- 10.4 kg, age 24 + 4 years, BMI 23.4 + 2.2 kg/m(2). Marker trajectories and Kinect depth map data of the leg were collected while each subject performed a slow squat motion. Custom code was used to export virtual marker trajectories for the Kinect data. Each set of marker trajectories was utilized to calculate Cardan knee and hip angles. The patterns of motion were similar between systems with average absolute differences of <5 deg. Peak joint angles showed high between-trial reliability with ICC > 0.9 for both systems. The peak angles calculated by the marker-based and Kinect systems were largely correlated (r > 0.55). These results suggest the data from the Kinect can be post processed in way that it may be a feasible markerless motion capture system that can be used in the clinic. (C) 2015 Elsevier B.V. All rights reserved.
机译:无标记运动捕捉可能具有使运动捕捉技术广泛应用于临床的潜力。但是,尚未在体内研究单个无标记相机系统量化临床相关的下肢关节角度的能力。因此,本研究的目的是在下蹲期间比较使用基于标记的运动捕捉系统和Mi​​crosoft Kinect计算的体内关节角度。 15个人参加了研究:男性8位,女性7位,身高1.702 +/- 0.089 m,质量67.9 +/- 10.4 kg,年龄24 + 4岁,BMI 23.4 + 2.2 kg / m(2)。在每个受试者进行缓慢下蹲运动时,收集腿的标记轨迹和Kinect深度图数据。自定义代码用于导出Kinect数据的虚拟标记轨迹。每组标记轨迹用于计算Cardan膝盖和臀部角度。系统之间的运动模式相似,平均绝对差小于5度。两种系统的峰值关节角度均显示出较高的试验间可靠性,ICC> 0.9。基于标记的系统和Kinect系统计算的峰角高度相关(r> 0.55)。这些结果表明,来自Kinect的数据可以进行后期处理,以使其成为可在临床中使用的可行的无标记运动捕获系统。 (C)2015 Elsevier B.V.保留所有权利。

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