Real-Time Joint Coupling of the Spine for Inverse Kinematics

In this paper we propose a simple model for the coupling behavior of the human spine for an inverse kinematics framework. Our spine model exhibits anatomically correct motions of the vertebrae of virtual mannequins by coupling standard swing and revolute joint models. The adjustement of the joints is made with several simple (in)equality constraints, resulting in a reduction of the solution space dimensionality for the inverse kinematics solver. By reducing the solution space dimensionality to feasible spine shapes, we prevent the inverse kinematics algorithm from providing infeasible postures for the spine.In this paper, we exploit how to apply these simple constraints to the human spine by a strict decoupling of the swing and torsion motion of the vertebrae. We demonstrate the validity of our approach on various experiments.

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Publication Details

Journal
Infoscience (Ecole Polytechnique Fédérale de Lausanne)
Published
2024-11-27
DOI
https://doi.org/10.20385/1860-2037/5.2008.11
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
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article

Real-Time Joint Coupling of the Spine for Inverse Kinematics

Daniel Raunhardt, Ronan Boulic
Infoscience (Ecole Polytechnique Fédérale de Lausanne)
Robotic Mechanisms and Dynamics
article

Real-Time Joint Coupling of the Spine for Inverse Kinematics

Daniel Raunhardt, Ronan Boulic
article en

Abstract

In this paper we propose a simple model for the coupling behavior of the human spine for an inverse kinematics framework. Our spine model exhibits anatomically correct motions of the vertebrae of virtual mannequins by coupling standard swing and revolute joint models. The adjustement of the joints is made with several simple (in)equality constraints, resulting in a reduction of the solution space dimensionality for the inverse kinematics solver. By reducing the solution space dimensionality to feasible spine shapes, we prevent the inverse kinematics algorithm from providing infeasible postures for the spine.In this paper, we exploit how to apply these simple constraints to the human spine by a strict decoupling of the swing and torsion motion of the vertebrae. We demonstrate the validity of our approach on various experiments.

Infoscience (Ecole Polytechnique Fédérale de Lausanne)Vol. 5(11)
École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 100%
Robotic Mechanisms and Dynamics
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Real-Time Joint Coupling of the Spine for Inverse Kinematics — Daniel Raunhardt, Ronan Boulic · Infoscience (Ecole Polytechnique Fédérale de Lausanne) (2024) | TGRS Research Map | TGRS