公开(公告)号：US10402517B2

公开(公告)日：2019-09-03

申请号：US13927898

申请日：2013-06-26

Applicant: Dassault Systémes Simulia Corp.

Inventor： Subham Sett ,  Victor George Oancea ,  Juan Antonio Hurtado ,  Manoj Kumar Mohanram Chinnakonda ,  Prabhav Saraswat ,  Jiang Yao

IPC: G06F17/50 ,  G09B23/32

Abstract: The present invention relates to a method and corresponding system for modeling a musculo-skeletal system. An embodiment of the method of the invention begins by scaling and positioning a musculo-skeletal model to correspond with motion capture data of a subject. Next, kinematically consistent motion data is generated from the motion capture data and then an inverse dynamic analysis of the musculo-skeletal model is performed using the generated kinematically consistent motion data, such that at least one analysis result is generated. The musculo-skeletal model is then updated to correspond with the at least one analysis result of the inverse dynamic analysis. Finally, the muscle activation of the updated musculo-skeletal model is optimized by determining at least one muscle force using the updated musculo-skeletal model, and by further updating the updated musculo-skeletal model to correspond with the determined at least one muscle force.

公开(公告)号：US20150006120A1

公开(公告)日：2015-01-01

申请号：US13927898

申请日：2013-06-26

Applicant: Dassault Systémes Simulia Corp.

Inventor： Subham Sett ,  Victor George Oancea ,  Juan Antonio Hurtado ,  Manoj Kumar Mohanram Chinnakonda ,  Prabhav Saraswat ,  Jiang Yao

IPC: G06F17/50

CPC classification number: G06F17/5018 ,  G09B23/32

Abstract: The present invention relates to a method and corresponding system for modeling a musculo-skeletal system. An embodiment of the method of the invention begins by scaling and positioning a musculo-skeletal model to correspond with motion capture data of a subject. Next, kinematically consistent motion data is generated from the motion capture data and then an inverse dynamic analysis of the musculo-skeletal model is performed using the generated kinematically consistent motion data, such that at least one analysis result is generated. The musculo-skeletal model is then updated to correspond with the at least one analysis result of the inverse dynamic analysis. Finally, the muscle activation of the updated musculo-skeletal model is optimized by determining at least one muscle force using the updated musculo-skeletal model, and by further updating the updated musculo-skeletal model to correspond with the determined at least one muscle force.

Abstract translation: 本发明涉及一种用于建模肌肉骨骼系统的方法和相应的系统。 本发明的方法的一个实施例开始于将肌肉骨骼模型缩放和定位以对应于受试者的运动捕获数据。 接下来，从运动捕获数据生成运动学上一致的运动数据，然后使用生成的运动学一致运动数据来执行肌肉 - 骨骼模型的反向动态分析，使得产生至少一个分析结果。 然后更新肌肉骨骼模型以对应于逆动态分析的至少一个分析结果。 最后，通过使用更新的肌肉 - 骨骼模型确定至少一个肌肉力量，并且通过进一步更新更新的肌肉 - 骨骼模型以对应于所确定的至少一个肌肉力量，来优化更新的肌肉 - 骨骼模型的肌肉激活。