IoT-enabled smart mask for monitoring body parameters and location through cloud

S. Mekid*, K. Chenaoua

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations


In the last interim guidance, the WHO advised the use of masks in communities, during home care, and in healthcare settings in areas with reported cases of COVID-19. This advice was intended for individuals in the community, public health and infection prevention and control (IPC) professionals, healthcare managers, healthcare workers (HCWs), and community health workers. As the two primary routes of transmission of the COVID-19 virus are respiratory droplets and contact, face masks have become potential safety tools in public places. Subsequent contact with the face, eyes, nose, and mouth following contamination is detrimental. However, during this pandemic, physicians and nurses have suffered the consequences of wearing face masks for several hours. Therefore. a full-face mark, which ensures filtered breathing during the day, is critical. The proposed smart mask model protects the respiration of mask wearers and monitors their body temperature, sneezing attacks, and social distancing. Moreover, it registers their geographical location after ensuring ID registration. The proposed mask can be used both indoors and outdoors. Moreover, data can be processed locally for alarms related to temperature and social distancing. The remaining data are sent to a cloud for post-processing to record the histories of mask wearers in all parameters, including their geographical dynamic location, to track the possible spread of contamination. The prototype and measurement results demonstrate the practicality and potential utility of mass numbers.

Original languageEnglish
Article number100794
JournalInternet of Things (Netherlands)
StatePublished - Jul 2023

Bibliographical note

Publisher Copyright:
© 2023 Elsevier B.V.


  • COVID-19
  • Cloud
  • IoT
  • Sensors
  • Smart mask
  • Temperature

ASJC Scopus subject areas

  • Software
  • Computer Science (miscellaneous)
  • Information Systems
  • Engineering (miscellaneous)
  • Hardware and Architecture
  • Computer Science Applications
  • Artificial Intelligence
  • Management of Technology and Innovation


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