2nd Department of Neurology, Faculty of Medicine, Comenius University, 833 05 Bratislava, Slovakia.
Laboratory for Gait and Movement Analysis, Orthopedic Hospital Speising, 1130 Vienna, Austria.
Sensors (Basel). 2024 May 13;24(10):3091. doi: 10.3390/s24103091.
The progress in markerless technologies is providing clinicians with tools to shorten the time of assessment rapidly, but raises questions about the potential trade-off in accuracy compared to traditional marker-based systems. This study evaluated the OpenCap system against a traditional marker-based system-Vicon. Our focus was on its performance in capturing walking both toward and away from two iPhone cameras in the same setting, which allowed capturing the Timed Up and Go (TUG) test. The performance of the OpenCap system was compared to that of a standard marker-based system by comparing spatial-temporal and kinematic parameters in 10 participants. The study focused on identifying potential discrepancies in accuracy and comparing results using correlation analysis. Case examples further explored our results. The OpenCap system demonstrated good accuracy in spatial-temporal parameters but faced challenges in accurately capturing kinematic parameters, especially in the walking direction facing away from the cameras. Notably, the two walking directions observed significant differences in pelvic obliquity, hip abduction, and ankle flexion. Our findings suggest areas for improvement in markerless technologies, highlighting their potential in clinical settings.
无标记技术的进展为临床医生提供了快速评估时间的工具,但这也引发了一些问题,即与传统基于标记的系统相比,其准确性是否存在潜在的折衷。本研究评估了 OpenCap 系统与传统基于标记的系统-Vicon 的对比。我们的重点是评估它在同一环境中同时向和远离两个 iPhone 摄像头进行行走时的性能,这允许捕获计时起立行走(TUG)测试。通过比较 10 名参与者的时空和运动学参数,将 OpenCap 系统的性能与标准基于标记的系统进行了比较。研究重点是通过相关分析识别准确性的潜在差异并比较结果。案例示例进一步探讨了我们的结果。OpenCap 系统在时空参数方面表现出良好的准确性,但在准确捕捉运动学参数方面面临挑战,特别是在面对远离摄像头的行走方向。值得注意的是,观察到两个行走方向在骨盆倾斜度、髋关节外展和踝关节背屈方面存在显著差异。我们的研究结果表明无标记技术需要改进的地方,并强调了它们在临床环境中的潜力。