Promotor / Advisor
Keyword
Science & Technology
Technology
Computer Science
Software Engineering
Computer Science
multi-scale virtual huma
musculotendon unit modeling
geometrical enhancement
Artificial Intelligence and Image Processing
Computation Theory and Mathematics
Cognitive Sciences
Software Engineering
Artificial intelligence
Computer vision and multimedia computation
Graphics, augmented reality and game
Technology
Computer Science
Software Engineering
Computer Science
multi-scale virtual huma
musculotendon unit modeling
geometrical enhancement
Artificial Intelligence and Image Processing
Computation Theory and Mathematics
Cognitive Sciences
Software Engineering
Artificial intelligence
Computer vision and multimedia computation
Graphics, augmented reality and game
Location research
Date
2017
License
Publisher
Wiley
Language
English
ISSN
1546-4261
ISBN
Collections
Research Projects
Organizational Units
Journal Issue
Abstract
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.
Citation
Laclé, F., & Pronost, N. (2015). A scalable geometrical model for musculotendon units. Computer Animation and Virtual Worlds, 28(1). https://doi.org/10.1002/cav.1684
Sponsorship
This publication was funded by the European Union (FED/2019/406–549).