PandemieGrippaleV1, 2020, Analysis, bibRecord, 000011

Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask" to limit the spread of COVID-19

Identifieur interne : 000011 ( 2020/Analysis ); précédent : 000010; suivant : 000012

Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask" to limit the spread of COVID-19

Auteurs : Karim Hammoudi [France] ; Adnane Cabani [France] ; Halim Benhabiles [France] ; Mahmoud Melkemi [France]

Source :

RBID : Hal:hal-02614790

English descriptors

mix :
- COVID-19, Face protection masks, coronavirus, e-health, epidemic prevention and control, health education, m-health, mobile health, public health support, public health system.

Abstract

In a context of a virus that is transmissive by sputtering, wearing masks appear necessary to protect the wearer and to limit the propagation of the disease. Currently, we are facing the 2019-20 coronavirus pandemic. Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. COVID-19 appeared first in China and very quickly spreads to the rest of the world. The COVID-19 contagiousness is known to be high by comparison with the flu. In this paper, we propose a design of a mobile application for permitting to everyone having a smartphone and being able to take a picture to verify that his/her protection mask is correctly positioned on his/her face. Such application can be particularly useful for people using face protection mask for the first time and notably for children and old people. The designed method exploits Haar-like feature descriptors to detect key features of the face and a decision-making algorithm is applied. Experimental results show the potential of this method in the validation of the correct mask wearing. To the best of our knowledge, our work is the only one that currently proposes a mobile application design "CheckYourMask" for validating the correct wearing of protection mask.

Url:

https://hal.archives-ouvertes.fr/hal-02614790

Affiliations:

Links toward previous steps (curation, corpus...)

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Links to Exploration step

Hal:hal-02614790

Le document en format XML

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<country>France</country>
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<author><name sortKey="Melkemi, Mahmoud" sort="Melkemi, Mahmoud" uniqKey="Melkemi M" first="Mahmoud" last="Melkemi">Mahmoud Melkemi</name>
<affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-10298" status="OLD">          <orgName>Institut d'Informatique et de Mathématiques Appliquées de Grenoble</orgName>
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>COVID-19</term>
<term>Face protection masks</term>
<term>coronavirus</term>
<term>e-health</term>
<term>epidemic prevention and control</term>
<term>health education</term>
<term>m-health</term>
<term>mobile health</term>
<term>public health support</term>
<term>public health system</term>
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<front><div type="abstract" xml:lang="en">              <p>In a context of a virus that is transmissive by sputtering, wearing masks appear necessary to protect the wearer and to limit the propagation of the disease. Currently, we are facing the 2019-20 coronavirus pandemic. Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. COVID-19 appeared first in China and very quickly spreads to the rest of the world. The COVID-19 contagiousness is known to be high by comparison with the flu. In this paper, we propose a design of a mobile application for permitting to everyone having a smartphone and being able to take a picture to verify that his/her protection mask is correctly positioned on his/her face. Such application can be particularly useful for people using face protection mask for the first time and notably for children and old people. The designed method exploits Haar-like feature descriptors to detect key features of the face and a decision-making algorithm is applied. Experimental results show the potential of this method in the validation of the correct mask wearing. To the best of our knowledge, our work is the only one that currently proposes a mobile application design "CheckYourMask" for validating the correct wearing of protection mask.</p>
            </div>
</front>
</TEI>
<affiliations><list><country><li>France</li>
</country>
<region><li>Auvergne-Rhône-Alpes</li>
<li>Rhône-Alpes</li>
</region>
<settlement><li>Grenoble</li>
</settlement>
<orgName><li>Université Joseph Fourier</li>
<li>Université de Grenoble</li>
</orgName>
</list>
<tree><country name="France"><noRegion><name sortKey="Hammoudi, Karim" sort="Hammoudi, Karim" uniqKey="Hammoudi K" first="Karim" last="Hammoudi">Karim Hammoudi</name>
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<name sortKey="Benhabiles, Halim" sort="Benhabiles, Halim" uniqKey="Benhabiles H" first="Halim" last="Benhabiles">Halim Benhabiles</name>
<name sortKey="Cabani, Adnane" sort="Cabani, Adnane" uniqKey="Cabani A" first="Adnane" last="Cabani">Adnane Cabani</name>
<name sortKey="Melkemi, Mahmoud" sort="Melkemi, Mahmoud" uniqKey="Melkemi M" first="Mahmoud" last="Melkemi">Mahmoud Melkemi</name>
</country>
</tree>
</affiliations>
</record>

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Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask" to limit the spread of COVID-19

Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask" to limit the spread of COVID-19

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