Cough activated dynamic face visor |
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Author: | Luukkonen, Timo1; Colley, Ashley1; Seppänen, Tapio2; |
Organizations: |
1University of Lapland Rovaniemi, Finland 2University of Oulu Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 1.8 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2021102151870 |
Language: | English |
Published: |
Association for Computing Machinery,
2021
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Publish Date: | 2021-10-21 |
Description: |
AbstractIn this demo, we present a cough activated face visor, where the transparent visor screen moves to cover the wearer’s face when coughing sounds are detected. The cough detection is performed by a TinyML machine learning model, running on a microcontroller integrated to the visor’s headband. We make no claims regarding the direct impact of our prototype in preventing the spread of Covid-19, but hope it inspires discussion on future smart solutions in the area of personal protective equipment (PPE). Additionally, we note that visibility of the visor’s operation potentially encourages observers to adopt preventative measures such as hygiene practices and social distancing. see all
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ISBN Print: | 978-1-4503-8428-5 |
Pages: | 295 - 297 |
DOI: | 10.1145/3458709.3459000 |
OADOI: | https://oadoi.org/10.1145/3458709.3459000 |
Host publication: |
Proceedings of the Augmented Humans Conference 2021, AHs 2021 |
Conference: |
Augmented Humans Conference |
Type of Publication: |
B3 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This research has been supported by Business Finland ’Smart Social Distancing’ and the Academy of Finland ’TechFashion’ projects. |
Copyright information: |
© 2021 Copyright held by the owner/author(s). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the Augmented Humans Conference 2021, AHs 2021, https://doi.org/10.1145/3458709.3459000. |