Gap reconstruction in optical motion capture sequences using neural networks
P Skurowski, M Pawlyta - Sensors, 2021 - mdpi.com
Optical motion capture is a mature contemporary technique for the acquisition of motion
data; alas, it is non-error-free. Due to technical limitations and occlusions of markers, gaps …
data; alas, it is non-error-free. Due to technical limitations and occlusions of markers, gaps …
Detection and classification of artifact distortions in optical motion capture sequences
P Skurowski, M Pawlyta - Sensors, 2022 - mdpi.com
Optical motion capture systems are prone to errors connected to marker recognition (eg,
occlusion, leaving the scene, or mislabeling). These errors are then corrected in the …
occlusion, leaving the scene, or mislabeling). These errors are then corrected in the …
[HTML][HTML] Tree based regression methods for gap reconstruction of motion capture sequences
P Skurowski, M Pawlyta - Biomedical Signal Processing and Control, 2024 - Elsevier
In the article, we study application of tree based regression methods for reconstruction of
gaps in marker trajectories in optical motion capture systems. Having perfect ground truth …
gaps in marker trajectories in optical motion capture systems. Having perfect ground truth …
A survey of selected machine learning methods for the segmentation of raw motion capture data into functional body mesh
M Pawlyta, P Skurowski - … in Medicine: 5th International Conference, ITIB …, 2016 - Springer
The paper describes the progress in the research for the automatic inferring method of the
body structure—functional body mesh. In the paper we investigate four motion measures …
body structure—functional body mesh. In the paper we investigate four motion measures …