  Human motion analysis has seen drastic improvements recently, however, due to
the lack of representative datasets, for clinical in-bed scenarios it is still
lagging behind. To address this issue, we implemented BlanketGen, a pipeline
that augments videos with synthetic blanket occlusions. With this pipeline, we
generated an augmented version of the pose estimation dataset 3DPW called
BlanketGen-3DPW. We then used this new dataset to fine-tune a Deep Learning
model to improve its performance in these scenarios with promising results.
Code and further information are available at
https://gitlab.inesctec.pt/brain-lab/brain-lab-public/blanket-gen-releases.
