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Anatomically Detailed Simulation of Human Torso
High-fidelity FEM simulation of the human torso with detailed muscle, organ, and tissue anatomy for realistic breathing and movement.
Abstract
Many existing digital human models approximate the human skeletal system using rigid bodies connected by rotational joints. While the simplification is considered acceptable for legs and arms, it significantly lacks fidelity to model rich torso movements in common activities such as dancing, Yoga, and various sports. Research from biomechanics provides more detailed modeling for parts of the torso, but their models often operate in isolation and are not fast and robust enough to support computationally heavy applications and large-scale data generation for full-body digital humans. This paper proposes a new torso model that aims to achieve high fidelity both in perception and in functionality, while being computationally feasible for simulation and optimal control tasks. We build a detailed human torso model consisting of various anatomical components, including facets, ligaments, and intervertebral discs, by coupling efficient finite-element and rigid-body simulations. Given an existing motion capture sequence without dense markers placed on the torso, our new model is able to recover the underlying torso bone movements. Our method is remarkably robust that it can be used to automatically "retrofit" the entire Mixamo motion database of highly diverse human motions without user intervention.
How to read this
- Category
- Method: an anatomically detailed torso simulation model
- Contributions
- A detailed human torso model with facets, ligaments, and intervertebral discs coupling finite-element and rigid-body simulation
- Recovery of underlying torso bone movement from motion capture without dense torso markers
- A model fast and robust enough for simulation, optimal control, and large-scale data generation
- Context
- Builds on anatomically based body modeling such as Saito's Computational Bodybuilding, adding higher-fidelity coupled torso anatomy aimed at rich movements like dancing, yoga, and sports.Builds on: Computational Bodybuilding: Anatomically-Based Modeling of Human Bodies
- Correctness
- Demonstrated by recovering torso bone movement from existing sparse-marker mocap with a coupled FEM/rigid-body solver; fidelity depends on the anatomical modeling assumptions, and validation is shown on motion recovery rather than against in-vivo ground truth.
- Clarity
- The motivation and components are accessible; the coupled FEM/rigid-body formulation requires a careful second pass.
- How to read it
- First pass for which anatomical components are modeled and why rigid-joint torsos fall short; a second pass on the FEM/rigid coupling pays off if you need torso simulation or motion recovery.
Built upon by
Nothing yet.
Related work
- Simulation of Hand Anatomy Using Medical Imaging 2022 / SIGGRAPH Asia
- Hand Modeling and Simulation Using Stabilized Magnetic Resonance Imaging 2019 / SIGGRAPH
- Shape Targeting: A Versatile Active Elasticity Constitutive Model 2020 / SIGGRAPH
- EMU: Efficient Muscle Simulation in Deformation Space 2021 / CGF
Keywords
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