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A scalable geometrical model for musculotendon units
Author(s) -
Laclé Francis,
Pronost Nicolas
Publication year - 2015
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.1684
Subject(s) - computer science , scalability , process (computing) , invariant (physics) , resolution (logic) , simulation , artificial intelligence , physics , operating system , database , mathematical physics
Physics‐based simulation of systems such as virtual humans has benefited from recent advances in muscle actuation. However, to be manageable for motion controllers, muscles are usually solely represented by their action line, a polyline that does not include data on the tridimensional geometry of the muscle. This paper focuses on combining, by a controllable enhancement process, a functional and biomechanical model of musculotendon units with its high resolution geometrical counterpart. The method was developed in order to be invariant to spatial and polygonal configurations and to be scalable in both longitudinal and latitudinal directions. Results with 48 musculotendon units for the lower body show a drop of 84 % with respect to the number of vertices when compared with the high resolution model, while maintaining the functional information. A real‐time simulation experiment resulted in a runtime of 135 Hz. Copyright © 2015 John Wiley & Sons, Ltd.