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基于单台RGB-D相机的儿童和青年无标记3D全身运动跟踪定制方法的同时效度

Concurrent Validity of a Custom Method for Markerless 3D Full-Body Motion Tracking of Children and Young Adults Based on a Single RGB-D Camera.

作者信息

Hesse Nikolas, Baumgartner Sandra, Gut Anja, van Hedel Hubertus J A

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2023;31:1943-1951. doi: 10.1109/TNSRE.2023.3251440. Epub 2023 Apr 10.

Abstract

Low-cost, portable RGB-D cameras with integrated body tracking functionality enable easy-to-use 3D motion analysis without requiring expensive facilities and specialized personnel. However, the accuracy of existing systems is insufficient for most clinical applications. In this study, we investigated the concurrent validity of our custom tracking method based on RGB-D images with respect to a gold-standard marker-based system. Additionally, we analyzed the validity of the publicly available Microsoft Azure Kinect Body Tracking (K4ABT). We recorded 23 typically developing children and healthy young adults (aged 5 to 29 years) performing five different movement tasks using a Microsoft Azure Kinect RGB-D camera and a marker-based multi-camera Vicon system simultaneously. Our method achieved a mean per joint position error over all joints of 11.7 mm compared to the Vicon system, and 98.4% of the estimated joint positions had an error of less than 50 mm. Pearson's correlation coefficients r ranged from strong ( r =0.64) to almost perfect ( 0.99). K4ABT demonstrated satisfactory accuracy most of the time but showed short periods of tracking failures in nearly two-thirds of all sequences limiting its use for clinical motion analysis. In conclusion, our tracking method highly agrees with the gold standard system. It paves the way towards a low-cost, easy-to-use, portable 3D motion analysis system for children and young adults.

摘要

具备集成人体跟踪功能的低成本便携式RGB-D相机,无需昂贵设备和专业人员即可实现易于使用的3D运动分析。然而,现有系统的准确性对于大多数临床应用而言并不足够。在本研究中,我们针对基于RGB-D图像的自定义跟踪方法,研究了其相对于基于标记的金标准系统的同时效度。此外,我们分析了公开可用的Microsoft Azure Kinect人体跟踪(K4ABT)的效度。我们使用Microsoft Azure Kinect RGB-D相机和基于标记的多相机Vicon系统,同时记录了23名发育正常的儿童和健康的年轻人(年龄在5至29岁之间)执行五种不同的运动任务。与Vicon系统相比,我们的方法在所有关节上的平均每个关节位置误差为11.7毫米,并且98.4%的估计关节位置误差小于50毫米。皮尔逊相关系数r范围从强(r = 0.64)到几乎完美(0.99)。K4ABT在大多数情况下表现出令人满意的准确性,但在几乎三分之二的序列中出现了短时间的跟踪失败,这限制了其在临床运动分析中的应用。总之,我们的跟踪方法与金标准系统高度一致。它为儿童和年轻人开发低成本、易于使用的便携式3D运动分析系统铺平了道路。

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