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Interpolating Three-Dimensional Kinematic Data Using Quaternion Splines and Hermite Curves

机译:使用四元数样条和Hermite曲线插补三维运动学数据

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摘要

Kinematic interpolation is an important tool in biomechanics. The purpose of this work is to describe a method for interpolating three-dimensional kinematic data, minimizing error while maintaining ease of calculation. This method uses cubic quaternion and hermite interpolation to fill gaps between kinematic data points. Data sets with a small number of samples were extracted from a larger data set and used to validate the technique. Two additional types of interpolation were applied and then compared to the cubic quaternion interpolation. Displacement errors below 2% using the cubic quaternion method were achieved using 4% of the total samples, representing a decrease in error over the other algorithms.
机译:运动学插值是生物力学中的重要工具。这项工作的目的是描述一种内插三维运动学数据的方法,该方法可在保持计算简便性的同时将误差最小化。该方法使用三次四元数和Hermite插值来填充运动学数据点之间的间隙。从较大的数据集中提取了具有少量样本的数据集,并用于验证该技术。应用了两种其他类型的插值,然后将它们与三次四元数插值进行了比较。使用立方四元数方法的位移误差低于2%,使用了总样本的4%,与其他算法相比,误差降低了。

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