Our biomechanical analysis is grounded in decades of sports science research and validated through extensive testing against laboratory-grade systems.
Peer-reviewed studies informing our analysis
Data points validating our algorithms
Compared to laboratory systems
Scientific foundation behind our biomechanical analysis
Romanov, N. & Fletcher, G. • Sports Biomechanics (2007)
Slight forward lean from ankles improves running economy by 2-8%
Forms the basis for our torso lean analysis
Schache, A.G., et al. • Journal of Biomechanics (2011)
Greater hip extension correlates with improved running economy
Validates our hip extension measurements
Stenum, J., et al. • Gait & Posture (2021)
Markerless motion capture achieves clinical-grade accuracy
Supports our computer vision approach
Daoud, A.I., et al. • Medicine & Science in Sports (2012)
Proper biomechanics reduce injury risk by up to 40%
Demonstrates importance of form analysis
How we ensure clinical-grade accuracy in our measurements
We validated our system against 3D motion capture in controlled laboratory conditions with 50 runners across different skill levels.
Real-world validation with recreational and competitive runners using various smartphone cameras and lighting conditions.
Collaborating with leading institutions to advance running science