
Elin Hernlund and her international research team introduce VAREN, a groundbreaking 3D parametric model of horses learned from real data. The model enables unprecedented analysis of how horses move and how their muscles respond during motion — a major advance for equine biomechanics research.
VAREN (Very Accurate and Realistic Equine Network) is a breakthrough in equine biomechanics research. Developed through collaboration between leading computer vision and equine science researchers, VAREN is the first parametric 3D model of horses created from real scanning data.
What makes VAREN revolutionary is its ability to model how horses move and how their muscles respond during motion with unprecedented accuracy. The model captures pose-dependent deformations — the way muscles and soft tissues shift as a horse moves — offering insights that were previously impossible to analyze systematically.
This work opens new possibilities for understanding equine locomotion, detecting lameness patterns, and ultimately improving how we train, care for and compete with horses. It exemplifies the kind of cutting-edge research the Professor Fredricson Foundation supports — research grounded in rigorous biomechanics that directly advances horse welfare.
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