首页> 外文期刊>Annals of Biomedical Engineering: The Journal of the Biomedical Engineering Society >A markerless motion capture system to study musculoskeletal biomechanics: visual hull and simulated annealing approach.
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A markerless motion capture system to study musculoskeletal biomechanics: visual hull and simulated annealing approach.

机译:无标记运动捕捉系统,用于研究肌肉骨骼生物力学:视觉船体和模拟退火方法。

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摘要

Human motion capture is frequently used to study musculoskeletal biomechanics and clinical problems, as well as to provide realistic animation for the entertainment industry. The most popular technique for human motion capture uses markers placed on the skin, despite some important drawbacks including the impediment to the motion by the presence of skin markers and relative movement between the skin where the markers are placed and the underlying bone. The latter makes it difficult to estimate the motion of the underlying bone, which is the variable of interest for biomechanical and clinical applications. A model-based markerless motion capture system is presented in this study, which does not require the placement of any markers on the subject's body. The described method is based on visual hull reconstruction and an a priori model of the subject. A custom version of adapted fast simulated annealing has been developed to match the model to the visual hull. The tracking capability and a quantitative validation of the method were evaluated in a virtual environment for a complete gait cycle. The obtained mean errors, for an entire gait cycle, for knee and hip flexion are respectively 1.5 degrees (+/-3.9 degrees ) and 2.0 degrees (+/-3.0 degrees ), while for knee and hip adduction they are respectively 2.0 degrees (+/-2.3 degrees ) and 1.1 degrees (+/-1.7 degrees ). Results for the ankle and shoulder joints are also presented. Experimental results captured in a gait laboratory with a real subject are also shown to demonstrate the effectiveness and potential of the presented method in a clinical environment.
机译:人体动作捕捉通常用于研究肌肉骨骼的生物力学和临床问题,以及为娱乐业提供逼真的动画。尽管一些重要的缺点包括存在皮肤标记物阻碍了运动以及放置标记物的皮肤与下面的骨骼之间的相对运动,但最流行的人类动作捕捉技术还是使用放置在皮肤上的标记物。后者使得难以估计下面的骨骼的运动,这是生物力学和临床应用中关注的变量。这项研究提出了一种基于模型的无标记运动捕获系统,该系统不需要在受试者的身体上放置任何标记。所描述的方法基于视觉船体重建和对象的先验模型。已经开发了定制版本的自适应快速模拟退火,以使模型与视觉船体匹配。在一个完整的步态周期的虚拟环境中评估了该方法的跟踪能力和定量验证。在整个步态周期中,膝盖和髋部屈曲的平均误差分别为1.5度(+/- 3.9度)和2.0度(+/- 3.0度),而膝盖和髋关节内收分别为2.0度(+/-)。 +/- 2.3度)和1.1度(+/- 1.7度)。还显示了踝关节和肩关节的结果。还显示了在步态实验室中有真实受试者的实验结果,证明了所提出方法在临床环境中的有效性和潜力。

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