Machine learning applied to gait analysis data in cerebral palsy and stroke: A systematic review
Background Among neurological pathologies, cerebral palsy and stroke are the main
contributors to walking disorders. Machine learning methods have been proposed in the …
contributors to walking disorders. Machine learning methods have been proposed in the …
A Deep Learning Model for Markerless Pose Estimation Based on Keypoint Augmentation: What Factors Influence Errors in Biomechanical Applications?
AV Ruescas-Nicolau, E Medina-Ripoll, H de Rosario… - Sensors, 2024 - mdpi.com
In biomechanics, movement is typically recorded by tracking the trajectories of anatomical
landmarks previously marked using passive instrumentation, which entails several …
landmarks previously marked using passive instrumentation, which entails several …