
TL;DR
This paper introduces the Human Biodynamics Engine, a comprehensive human motion simulator based on advanced mathematical and physiological models, integrating neural control and muscular mechanics for realistic human movement simulation.
Contribution
It presents the development of a novel, detailed human biodynamics simulator incorporating Euclidean motion, neural control, and muscular mechanics, advancing the field of humanoid robotics.
Findings
Validated simulation examples demonstrate realistic human motion modeling.
Integration of neural control and muscular mechanics enhances simulation fidelity.
The HBE framework advances understanding of human biodynamics complexity.
Abstract
This paper presents the scientific body of knowledge behind the Human Biodynamics Engine (HBE), a human motion simulator developed on the concept of Euclidean motion group SE(3), with 270 active degrees of freedom, force-velocity-time muscular mechanics and two-level neural control - formulated in the fashion of nonlinear humanoid robotics. The following aspects of the HBE development are described: geometrical, dynamical, control, physiological, AI, behavioral and complexity, together with several simulation examples. Keywords: Human Biodynamics Engine, Euclidean SE(3)-group, Lagrangian/Hamiltonian biodynamics, Lie-derivative control, muscular mechanics, fuzzy-topological coordination, biodynamical complexity, validation, application
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Taxonomy
TopicsDiverse Interdisciplinary Research Studies · Mechanics and Biomechanics Studies
