Roupa Ivo F, Gonçalves Sérgio B, Silva Miguel Tavares da, Neptune Richard R, Lopes Daniel Simões
IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal.
Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin TX, USA.
Comput Methods Biomech Biomed Engin. 2022 Oct;25(13):1459-1470. doi: 10.1080/10255842.2021.2016722. Epub 2021 Dec 17.
This work presents Motion Envelopes (ME), a simple method to estimate the missing longitudinal rotations of minimal stick figures, which is based on the spatial-temporal surface traced by line segments that connect contiguous pairs of joints. We validate ME by analyzing the gait patterns of 6 healthy subjects, comprising a total of 18 gait cycles. A strong correlation between experimental and estimated data was obtained for lower limbs and upper arms, indicating that ME can predict their longitudinal orientation in normal gait, hence, ME can be used to complement the kinematic information of stick figures whenever it is incomplete.
这项工作提出了运动包络（ME），这是一种估计最小骨架图缺失纵向旋转的简单方法，该方法基于连接相邻关节对的线段所描绘的时空曲面。我们通过分析6名健康受试者的步态模式（共18个步态周期）来验证ME。下肢和上臂的实验数据与估计数据之间获得了很强的相关性，这表明ME可以预测正常步态中它们的纵向方向，因此，每当骨架图的运动学信息不完整时，ME可用于补充其信息。
