Title
The use of markerless motion capture to provide reliable, valid,
fast, accessible and affordable running technique analyses. (Research)
Abstract
We aim to determine if markerless deep learning based motion capture (DeepLabCut) can provide
reliable and valid measures of human movement during running (spatiotemporal parameters and
kinematic measures) that are comparable to marker-based motion capture. These measures can serve
as a base to develop a service/software application within 'Runners' Lab– Keep on Running' that
includes reliable, valid, fast, accessible and affordable human movement analysis on any location to
provide movement analytical feedback to the costumer in order to improve performance and prevent
injuries.
Period of project
01 October 2023 - 30 September 2024