BlanketSet - a clinical real word action recognition and qualitative semi-synchronized MoCap dataset

Thank you for your interest and understanding.** BlanketSet consists of 405 RGB-IR-D videos recorded with an Azure Kinect of people in a hospital bed performing 8 different movement sequences with different blankets, speeds, lighting conditions, hand positions, and blanket initial positions. Each recording was repeated 3 times with the 3 different blanket initial positions (body fully covered, only bottom half covered, and no blanket).

The dataset was acquired with an Azure Kinect at the Epilepsy Monitoring Unit (EMU) of the University Hospital Center of São João in several sessions over the course of several months. Covid restrictions changed while the dataset was acquired, this led to the participants wearing masks in some recordings, but not in others. One person participated both before and after the restrictions changed, and therefore both with and without a mask.