Enhancing technical accuracy in high-level aerobic gymnastics by means of MVN motion capture systems Prof.univ.dr. Aura Bota -UNEFS Bucuresti Prof. Mariana Mezei - CS UNEFS Bucuresti Prof. Radu Bidiug
This dataset contains data from a motion analysis experiment using a markerless and a marker-based system. Its purpose is to benchmark whole-body markerless motion analysis...
Inverse kinematics used to generate simulated marker trajectories for use with an automatic motion capture marker labelling algorithm (https://github.com/aclouthier/auto-marker-label).
Accelerations, speeds and instantaneous centers of rotation of a baby dummy head (6 weeks equivalent) determined in order to estimate the potential harmfulness of shaking an infant. Experimental data
