We propose a method for automatic segmentation of individual muscles from a clinical CT.
The method uses Bayesian convolutional neural networks with the U-Net architecture, using …

Understanding the sources of error is critical before models of the musculoskeletal system
can be usefully translated. Using in vivo measured tibiofemoral forces, the impact of …

We examined the influence of lung volume on the vertical body position, trunk inclination,
and projected frontal area (PFA) during swimming and the inter‐relationships among these …

We present a novel retargeting algorithm that transfers the musculature of a reference
anatomical model to new bodies with different sizes, body proportions, muscle capability …

Digital human models represent variations of body shapes for the target end-user
population. They can simulate human motions, evaluate workloads, and are utilized to …

Surpassing the world record in athletic performance requires extensive use of kinematic and
dynamic motion analyses to develop novel body usage skills and training methods …

The method for remote clothing selection includes determination of anthropometric
dimensional parameters of a user, automatic assessment of correspondence of a garment to …

This study generates and analyzes unsafe human motions that cannot be measured
experimentally in laboratories with dynamic consistency. Detailed whole-body motions are …

针对非刚性变形的模型间的配准问题, 提出了一种结合骨架子空间变形技术和Laplace
网格变形的配准方法. 对源模型和目标模型执行迭代最近点算法使两模型姿态相同的部分对齐; …

Purpose This study aimed to provide evidence for the interpretation of the projected frontal
area (PFA) during front crawl. To achieve this goal, we developed a method for calculating …