  Clinical in-bed video-based human motion analysis is a very relevant computer
vision topic for several relevant biomedical applications. Nevertheless, the
main public large datasets (e.g. ImageNet or 3DPW) used for deep learning
approaches lack annotated examples for these clinical scenarios. To address
this issue, we introduce BlanketSet, an RGB-IR-D action recognition dataset of
sequences performed in a hospital bed. This dataset has the potential to help
bridge the improvements attained in more general large datasets to these
clinical scenarios. Information on how to access the dataset is available at
https://rdm.inesctec.pt/dataset/nis-2022-004.
