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Capturing Joint Angles of the Off-Site Human Body

机译:捕获场外人体的关节角度

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Motion capture (mocap) is traditionally conducted by optical systems. These are expensive and usually limited to controlled environments. We investigated the accuracy of portable and inexpensive mocap sensor systems compared to benchmark optical systems with respect to tracking joint angles. This review summarizes the findings of 21 studies. In these studies, 228 subjects were employed, and 16 joints were tracked, spanning a range of activities. We did not find a system that is consistent and equally accurate across all joint angles for all activities (root mean square error up to 12.1 degrees). However, under some ideal conditions, the results are on par with optical mocap. Our recommendations for future research and development are to focus on tracking faster activities, activities in off-site conditions, and following standardized biomechanical models of joint angles.
机译:传统上,运动捕捉(捕捉)是由光学系统进行的。这些是昂贵的并且通常限于受控环境。我们在跟踪关节角度方面研究了与基准光学系统相比,便携式廉价的Mocap传感器系统的精度。这篇综述总结了21项研究的结果。在这些研究中,雇用了228名受试者,并跟踪了16个关节,涵盖了一系列活动。我们没有找到一个在所有活动的所有关节角度上都一致且准确的系统(均方根误差最大为12.1度)。但是,在某些理想条件下,结果与光学遮光膜相当。我们对未来研究和开发的建议是集中于跟踪更快的活动,场外条件下的活动,并遵循关节角的标准化生物力学模型。

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