Anatomographic Volumetric Skin-Musculoskeletal Model and Its Kinematic Deformation With Surface-Based SSD
Anatomographic Volumetric Skin-Musculoskeletal Model and Its Kinematic Deformation With Surface-Based SSD
复制标题
基于表面 SSD 的解剖体积皮肤肌肉骨骼模型及其运动变形
DOI：
10.1109/lra.2016.2524069
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发表时间：
2016
影响因子：
5.2
通讯作者：
M. Tada
中科院分区：
文献类型：
--
作者：
A. Murai;Y. Endo;M. Tada
传统的肌肉骨骼模型主要包括由刚性连杆建模的骨骼和由理想线建模的肌肉、肌腱和韧带。缺乏肌肉的体积建模使得肌肉和自然肌肉通路之间的相互作用的表示变得困难。这种困难导致对肌肉活动估计至关重要的肌肉动量臂的生理上不适当的估计。在这封信中，我们开发了一个体积的皮肤肌肉骨骼模型的基础上，解剖学的人体形状数据库，以提高估计的肌肉动量臂。一个体积的表面皮肤和肌肉的变形实现了一个扩展的骨架子空间变形（SSD，线性混合皮肤算法），认为骨的表面轮廓与低计算成本。该扩展SSD考虑投影到骨表面多边形的子骨，使得皮肤和肌肉变形受到骨表面轮廓的显著影响。基于表面的SSD实现了自然皮肤变形，避免了躯干旋转过程中皮肤和骨骼之间的穿透，从而导致生理上适当的肌肉动量臂估计。体积皮肤-肌肉骨骼模型和基于表面的SSD估计股外侧肌的动量臂，与文献值的最大误差为14.1%。虽然有44.8%的最大误差与线肌肉骨骼模型。该模型将精确肌肉活动估计，从而更正确地理解人类运动控制/生成机制。
Conventional musculoskeletal models mainly consist of bones modeled by rigid linkages, and muscles, tendons, and ligaments modeled by ideal wires. The lack of volumetric modeling of muscle makes a representation of interaction between muscles and natural muscle pathway difficult. This difficulty results in a physiologically inappropriate estimation of a muscle momentum arm that is critical for a muscle activity estimation. In this letter, we develop a volumetric skin-musculoskeletal model based on an anatomographic human shape database to improve an estimation of a muscle momentum arm. A volumetric deformation of surface skin and muscle is realized by an extended skeleton subspace deformation (SSD, the linear blend skinning algorithm) that considers a surface profile of bone with low computational cost. This extended SSD considers a sub-bone that is projected to the bone surface polygon so that the skin and muscle deformation is significantly affected by the bone surface profile. The surface-based SSD realized the natural skin deformation avoiding a penetration between skin and bones during trunk rotation that results in a physiologically appropriate estimation of a muscle momentum arm. The volumetric skin-musculoskeletal model and the surface-based SSD estimates the momentum arm of vastus lateralis with 14.1% maximum error from a literature values, though there is 44.8% maximum error with the wire musculoskeletal model. This model would accurize a muscle activity estimation that leads to a more correct understanding of human motion control/generation mechanisms.