FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious diseases

Ibrahim, M.R. orcid.org/0000-0001-7733-7777 and Lyons, T. (2024) FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious diseases. PLOS ONE, 19 (6). e0288670. ISSN 1932-6203

Abstract

Metadata

Item Type: Article
Authors/Creators:
Editors:
  • Ali, N.
Copyright, Publisher and Additional Information:

© 2024 Ibrahim, Lyons. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Dates:
  • Published: 13 June 2024
  • Published (online): 13 June 2024
  • Accepted: 30 June 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 19 Jul 2024 09:06
Last Modified: 19 Jul 2024 09:06
Status: Published
Publisher: Public Library of Science
Identification Number: 10.1371/journal.pone.0288670
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
Open Archives Initiative ID (OAI ID):

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