Hand Washing Video Dataset Annotated According to the World Health Organization's Handwashing Guidelines - Jurmala Hospital Subset

This is a large-scale real-world dataset with videos recording medical staff washing their hands as part of their normal job duties in the Jurmala Hospital located in Jurmala, Latvia. There are 2427 hand washing episodes in total, almost all of which are annotated by two persons. The annotations classify the washing movements according to the World Health Organization's (WHO) guidelines by marking each frame in each video with a certain movement code. This dataset is part on three dataset series all following the same format: https://zenodo.org/record/4537209 - data collected in Pauls Stradins Clinical University Hospital; https://zenodo.org/record/5808764 - data collected in Jurmala Hospital; https://zenodo.org/record/5808789 - data collected in the Medical Education Technology Center (METC) of Riga Stradins University.
The intention of this dataset is twofold: to serve as a basis for training machine learning classifiers for automated hand washing movement recognition and quality control, and to allow to investigate the real-world quality of washing performed by working medical staff. Statistics: Frame rate - 30 FPS; Resolution - 320x240 and 640x480; Number of videos - 2427; Number of annotation files - 4818. Movement codes (both in CSV and JSON files): 1: Hand washing movement — Palm to palm; 2: Hand washing movement — Palm over dorsum, fingers interlaced; 3: Hand washing movement — Palm to palm, fingers interlaced; 4: Hand washing movement — Backs of fingers to opposing palm, fingers interlocked; 5: Hand washing movement — Rotational rubbing of the thumb; 6: Hand washing movement — Fingertips to palm; 7: Turning off the faucet with a paper towel; 0: Other hand washing movement. The dataset collection was funded by the Latvian Council of Science project: "Automated hand washing quality control and quality evaluation system with real-time feedback", No: lzp - Nr. 2020/2-0309.