Smart mask : wearable IoT solution for improved protection and personal health
Hyysalo, Jarkko; Dasanayake, Sandun; Hannu, Jari; Schuss, Christian; Rajanen, Mikko; Leppänen, Teemu; Doermann, David; Sauvola, Jaakko (2022-02-25)
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, https://doi.org/10.1016/j.iot.2022.100511
© 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/).
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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