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Reliable Data Collection Methodology for Face Recognition in Preschool Children

Most face datasets target adults who can make their own decisions. In the case of children, consent from parents or guardians is necessary to collect biometric information, thus making it very difficult. As a result, the amount of data on children is quite small and inevitably private. In this work,...

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Detalles Bibliográficos
Autores principales: Won, Hye-min, Lee, Hyeogjin, Song, Gyuwon, Kim, Yeonghun, Kwak, Nojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371031/
https://www.ncbi.nlm.nih.gov/pubmed/35957397
http://dx.doi.org/10.3390/s22155842
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author Won, Hye-min
Lee, Hyeogjin
Song, Gyuwon
Kim, Yeonghun
Kwak, Nojun
author_facet Won, Hye-min
Lee, Hyeogjin
Song, Gyuwon
Kim, Yeonghun
Kwak, Nojun
author_sort Won, Hye-min
collection PubMed
description Most face datasets target adults who can make their own decisions. In the case of children, consent from parents or guardians is necessary to collect biometric information, thus making it very difficult. As a result, the amount of data on children is quite small and inevitably private. In this work, we built a database by collecting face data of 74 children aged 2–7 years in daycare facilities. In addition, we conducted an experiment to determine the best location to perform face recognition on children by installing cameras in various locations. This study presents the points and methods to be considered to build a children’s face dataset and also studies the optimal camera installation setups for the face recognition of children.
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spelling pubmed-93710312022-08-12 Reliable Data Collection Methodology for Face Recognition in Preschool Children Won, Hye-min Lee, Hyeogjin Song, Gyuwon Kim, Yeonghun Kwak, Nojun Sensors (Basel) Article Most face datasets target adults who can make their own decisions. In the case of children, consent from parents or guardians is necessary to collect biometric information, thus making it very difficult. As a result, the amount of data on children is quite small and inevitably private. In this work, we built a database by collecting face data of 74 children aged 2–7 years in daycare facilities. In addition, we conducted an experiment to determine the best location to perform face recognition on children by installing cameras in various locations. This study presents the points and methods to be considered to build a children’s face dataset and also studies the optimal camera installation setups for the face recognition of children. MDPI 2022-08-04 /pmc/articles/PMC9371031/ /pubmed/35957397 http://dx.doi.org/10.3390/s22155842 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Won, Hye-min
Lee, Hyeogjin
Song, Gyuwon
Kim, Yeonghun
Kwak, Nojun
Reliable Data Collection Methodology for Face Recognition in Preschool Children
title Reliable Data Collection Methodology for Face Recognition in Preschool Children
title_full Reliable Data Collection Methodology for Face Recognition in Preschool Children
title_fullStr Reliable Data Collection Methodology for Face Recognition in Preschool Children
title_full_unstemmed Reliable Data Collection Methodology for Face Recognition in Preschool Children
title_short Reliable Data Collection Methodology for Face Recognition in Preschool Children
title_sort reliable data collection methodology for face recognition in preschool children
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371031/
https://www.ncbi.nlm.nih.gov/pubmed/35957397
http://dx.doi.org/10.3390/s22155842
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