University of Oulu

Jarkko Hyysalo, Sandun Dasanayake, Jari Hannu, Christian Schuss, Mikko Rajanen, Teemu Leppänen, David Doermann, Jaakko Sauvola, Smart mask – Wearable IoT solution for improved protection and personal health, Internet of Things, Volume 18, 2022, 100511, ISSN 2542-6605,

Smart mask : wearable IoT solution for improved protection and personal health

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Author: Hyysalo, Jarkko1; Dasanayake, Sandun1; Hannu, Jari1;
Organizations: 1University of Oulu, Pentti Kaiteran katu 1, 90570 Oulu, Finland
2University at Buffalo, Buffalo, NY, United States
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.6 MB)
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Language: English
Published: Elsevier, 2022
Publish Date: 2022-06-21


The use of face masks is an important way to fight the COVID-19 pandemic. In this paper, we envision the Smart Mask, an IoT supported platform and ecosystem aiming to prevent and control the spreading of COVID-19 and other respiratory viruses. The integration of sensing, materials, AI, wireless, IoT, and software will help the gathering of health data and health-related event detection in real time from the user as well as from their environment. In the larger scale, with the help of AI-based analysis for health data it is possible to predict and decrease medical costs with accurate diagnoses and treatment plans, where the comparison of personal data to large-scale public data enables drawing up a personal health trajectory, for example. Key research problems for smart respiratory protective equipment are identified in addition to future research directions. A Smart Mask prototype was developed with accompanying user application, backend and heath AI to study the concept.

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Series: Internet of things
ISSN: 2543-1536
ISSN-E: 2542-6605
ISSN-L: 2542-6605
Volume: 18
Article number: 100511
DOI: 10.1016/j.iot.2022.100511
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Funding: This work was supported in part by the Business Finland under Grant 35795/31/2020.
Copyright information: © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (