Hand-Washing Video Dataset Annotated According to the World Health Organization’s Hand-Washing Guidelines

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dc.contributor.authorLulla, Martins
dc.contributor.authorRutkovskis, Aleksejs
dc.contributor.authorSlavinska, Andreta
dc.contributor.authorVilde, Aija
dc.contributor.authorGromova, Anastasija
dc.contributor.authorIvanovs, Maksims
dc.contributor.authorSkadins, Ansis
dc.contributor.authorKadikis, Roberts
dc.contributor.authorElsts, Atis
dc.contributor.institutionMedical Education Technology Centre
dc.date.accessioned2022-01-19T09:15:01Z
dc.date.available2022-01-19T09:15:01Z
dc.date.issued2021-04-07
dc.descriptionFunding Information: Funding: This research was funded by the Ministry of Education and Science, Republic of Latvia, project “Integration of reliable technologies for protection against COVID-19 in healthcare and high-risk areas”, project No. VPP-COVID-2020/1-0004. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
dc.description.abstractWashing hands is one of the most important ways to prevent infectious diseases, including COVID-19. The World Health Organization (WHO) has published hand-washing guidelines. This paper presents a large real-world dataset with videos recording medical staff washing their hands as part of their normal job duties in the Pauls Stradins Clinical University Hospital. There are 3185 hand-washing episodes in total, each of which is annotated by up to seven different persons. The annotations classify the washing movements according to the WHO guidelines by marking each frame in each video with a certain movement code. The intention of this “in-the-wild” dataset is two-fold: to serve as a basis for training machine-learning classifiers for automated hand-washing movement recognition and quality control, and to allow to investigation of the real-world quality of washing performed by working medical staff. We demonstrate how the data can be used to train a machine-learning classifier that achieves classification accuracy of 0.7511 on a test dataset.en
dc.description.statusPeer reviewed
dc.format.extent6
dc.format.extent261035
dc.identifier.citationLulla, M, Rutkovskis, A, Slavinska, A, Vilde, A, Gromova, A, Ivanovs, M, Skadins, A, Kadikis, R & Elsts, A 2021, 'Hand-Washing Video Dataset Annotated According to the World Health Organization’s Hand-Washing Guidelines', Data, vol. 6, no. 4, 38. https://doi.org/10.3390/data6040038
dc.identifier.doi10.3390/data6040038
dc.identifier.issn2306-5729
dc.identifier.urihttps://dspace.rsu.lv/jspui/handle/123456789/7228
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85104617769&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofData
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjecthand-washing
dc.subjecthands
dc.subjecthand movement
dc.subjectvideo dataset
dc.subjectneural network
dc.subject1.2 Computer and information sciences
dc.subject2.6 Medical engineering
dc.subject3.3 Health sciences
dc.subject1.1. Scientific article indexed in Web of Science and/or Scopus database
dc.subjectSDG 3 - Good Health and Well-being
dc.titleHand-Washing Video Dataset Annotated According to the World Health Organization’s Hand-Washing Guidelinesen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article

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