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An attempt to construct the individual model of daily facial skin temperature using variational autoencoder

Facial skin temperature (FST) has also gained prominence as an indicator for detecting anomalies such as fever due to the COVID-19. When FST is used for engineering applications, it is enough to be able to recognize normal. We are also focusing on research to detect some anomaly in FST. In a previou...

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Autores principales: Masaki, Ayaka, Nagumo, Kent, Iwashita, Yuki, Oiwa, Kosuke, Nozawa, Akio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461596/
https://www.ncbi.nlm.nih.gov/pubmed/34584491
http://dx.doi.org/10.1007/s10015-021-00699-7
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author Masaki, Ayaka
Nagumo, Kent
Iwashita, Yuki
Oiwa, Kosuke
Nozawa, Akio
author_facet Masaki, Ayaka
Nagumo, Kent
Iwashita, Yuki
Oiwa, Kosuke
Nozawa, Akio
author_sort Masaki, Ayaka
collection PubMed
description Facial skin temperature (FST) has also gained prominence as an indicator for detecting anomalies such as fever due to the COVID-19. When FST is used for engineering applications, it is enough to be able to recognize normal. We are also focusing on research to detect some anomaly in FST. In a previous study, it was confirmed that abnormal and normal conditions could be separated based on FST by using a variational autoencoder (VAE), a deep generative model. However, the simulations so far have been a far cry from reality. In this study, normal FST with a diurnal variation component was defined as a normal state, and a model of normal FST in daily life was individually reconstructed using VAE. Using the constructed model, the anomaly detection performance was evaluated by applying the Hotelling theory. As a result, the area under the curve (AUC) value in ROC analysis was confirmed to be 0.89 to 1.00 in two subjects.
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spelling pubmed-84615962021-09-24 An attempt to construct the individual model of daily facial skin temperature using variational autoencoder Masaki, Ayaka Nagumo, Kent Iwashita, Yuki Oiwa, Kosuke Nozawa, Akio Artif Life Robot Original Article Facial skin temperature (FST) has also gained prominence as an indicator for detecting anomalies such as fever due to the COVID-19. When FST is used for engineering applications, it is enough to be able to recognize normal. We are also focusing on research to detect some anomaly in FST. In a previous study, it was confirmed that abnormal and normal conditions could be separated based on FST by using a variational autoencoder (VAE), a deep generative model. However, the simulations so far have been a far cry from reality. In this study, normal FST with a diurnal variation component was defined as a normal state, and a model of normal FST in daily life was individually reconstructed using VAE. Using the constructed model, the anomaly detection performance was evaluated by applying the Hotelling theory. As a result, the area under the curve (AUC) value in ROC analysis was confirmed to be 0.89 to 1.00 in two subjects. Springer Japan 2021-09-24 2021 /pmc/articles/PMC8461596/ /pubmed/34584491 http://dx.doi.org/10.1007/s10015-021-00699-7 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Masaki, Ayaka
Nagumo, Kent
Iwashita, Yuki
Oiwa, Kosuke
Nozawa, Akio
An attempt to construct the individual model of daily facial skin temperature using variational autoencoder
title An attempt to construct the individual model of daily facial skin temperature using variational autoencoder
title_full An attempt to construct the individual model of daily facial skin temperature using variational autoencoder
title_fullStr An attempt to construct the individual model of daily facial skin temperature using variational autoencoder
title_full_unstemmed An attempt to construct the individual model of daily facial skin temperature using variational autoencoder
title_short An attempt to construct the individual model of daily facial skin temperature using variational autoencoder
title_sort attempt to construct the individual model of daily facial skin temperature using variational autoencoder
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461596/
https://www.ncbi.nlm.nih.gov/pubmed/34584491
http://dx.doi.org/10.1007/s10015-021-00699-7
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