Skip to content

← ArchivePaper2014

Active Volumetric Musculoskeletal Systems

Ye Fan, Joshua Litven, Dinesh K. Pai

SIGGRAPHAcademic60 citesMusclesCFX

Eulerian-on-Lagrangian framework simulating volumetric muscles in close contact with volume preservation, large deformation, and active contraction.

Abstract

We introduce a new framework for simulating the dynamics of musculoskeletal systems, with volumetric muscles in close contact and a novel data-driven muscle activation model. Muscles are simulated using an Eulerian-on-Lagrangian discretization that handles volume preservation, large deformation, and close contact between adjacent tissues. Volume preservation is crucial for accurately capturing the dynamics of muscles and other biological tissues. We show how to couple the dynamics of soft tissues with Lagrangian multi-body dynamics simulators, which are widely available. Our physiologically based muscle activation model utilizes knowledge of the active shapes of muscles, which can be easily obtained from medical imaging data or designed to meet artistic needs. We demonstrate results with models derived from MRI data and models designed for artistic effect.

How to read this

Category
Method: volumetric musculoskeletal simulation framework
Contributions
  • An Eulerian-on-Lagrangian discretization for volumetric muscles handling volume preservation, large deformation, and close contact between adjacent tissues
  • A data-driven muscle activation model based on active muscle shapes from medical imaging or artistic design
  • Coupling of soft-tissue dynamics with widely available Lagrangian multi-body dynamics simulators
Context
Advances physically based muscle simulation in the lineage of Teran et al.'s skeletal muscle work from the Visible Human dataset, emphasizing volume preservation and contact.Builds on: Creating and Simulating Skeletal Muscle from the Visible Human Data Set
Correctness
Premised on volume preservation being crucial for biological tissue dynamics and on activation shapes obtainable from MRI or art direction; demonstrated on MRI-derived and artist-designed models, so it is a demonstration of plausibility/controllability rather than validated muscle-force accuracy.
Clarity
Moderately technical; a first pass conveys the Eulerian-on-Lagrangian and active-shape ideas, a second/third pass is needed for the discretization and coupling.
How to read it
Focus on why Eulerian-on-Lagrangian helps with volume and contact, and how the activation model is driven; a second pass pays off for the discretization, a third if implementing the multi-body coupling.

Builds on

Built upon by

Nothing yet.

Related work

Keywords

This page summarises the entry and links to its original source. The archive never hosts or redistributes the publication itself.Show it in the full archive list →