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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,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9371031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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