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) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2022050633412 |
Language: | English |
Published: |
Elsevier,
2022
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Publish Date: | 2022-06-21 |
Description: |
AbstractThe 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. see all
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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 |
OADOI: | https://oadoi.org/10.1016/j.iot.2022.100511 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
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 (http://creativecommons.org/licenses/by/4.0/). |
https://creativecommons.org/licenses/by/4.0/ |