Body measurement estimations using 3D scanner for individuals with severe motor impairments

Cristina Nuzzi, Marco Ghidelli, Alessandro Luchetti, Matteo Zanetti, F. Crenna, M. Lancini
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Abstract

In biomechanics, a still unresolved question is how to estimate with enough accuracy the volume and mass of each body segment of a subject. This is important for several applications ranging from the rehabilitation of injured subjects to the study of athletic performances via the analysis of the dynamic inertia of each body segment. However, traditionally this evaluation is done by referring to anthropometric tables or by approximating the volumes using manual measurements. We propose a novel method based on the 3D reconstruction of the subject’s body using the commercial low-cost camera Kinect v2. The software developed performs body segment separation in a few minutes leveraging alpha shape approximation of 3D polyhedrons to quickly compute a Montecarlo volume estimation. The procedure was evaluated on a total of 30 healthy subjects and the resulting segments’ lengths and masses were compared with the literature.
使用3D扫描仪对严重运动障碍的个体进行身体测量估计
在生物力学中,一个尚未解决的问题是如何足够准确地估计一个对象的每个身体部分的体积和质量。这对于一些应用很重要,从受伤受试者的康复到通过分析每个身体部分的动态惯性来研究运动表现。然而,传统上这种评估是通过参考人体测量表或通过使用人工测量近似的体积来完成的。我们提出了一种利用商业低成本相机Kinect v2对受试者身体进行三维重建的新方法。开发的软件在几分钟内利用3D多面体的alpha形状近似来快速计算蒙特卡罗体积估计。在总共30名健康受试者中对该方法进行了评估,并将所得节段的长度和质量与文献进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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