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The non-contact biometric identified bio signal measurement sensor and algorithms
In these days, wearable devices have been developed for effectively measuring biological data. However, these devices have tissue allege and noise problem. To solve these problems, biometric measurement based on a non-contact method, such as face image sequencing is developed. This makes it possible...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004981/ https://www.ncbi.nlm.nih.gov/pubmed/29758958 http://dx.doi.org/10.3233/THC-174569 |
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author | Kim, Chan-Il Lee, Jong-Ha |
author_facet | Kim, Chan-Il Lee, Jong-Ha |
author_sort | Kim, Chan-Il |
collection | PubMed |
description | In these days, wearable devices have been developed for effectively measuring biological data. However, these devices have tissue allege and noise problem. To solve these problems, biometric measurement based on a non-contact method, such as face image sequencing is developed. This makes it possible to measure biometric data without any operation and side effects. However, it is impossible for a remote center to identify the person whose data are measured by the novel methods. In this paper, we propose the novel non-contact heart rate and blood pressure imaging system, Deep Health Eye. This system has authentication process at the same time as measuring bio signals, through non-contact method. In the future, this system can be convenient home bio signal monitoring system by combined with smart mirror. |
format | Online Article Text |
id | pubmed-6004981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60049812018-06-25 The non-contact biometric identified bio signal measurement sensor and algorithms Kim, Chan-Il Lee, Jong-Ha Technol Health Care Research Article In these days, wearable devices have been developed for effectively measuring biological data. However, these devices have tissue allege and noise problem. To solve these problems, biometric measurement based on a non-contact method, such as face image sequencing is developed. This makes it possible to measure biometric data without any operation and side effects. However, it is impossible for a remote center to identify the person whose data are measured by the novel methods. In this paper, we propose the novel non-contact heart rate and blood pressure imaging system, Deep Health Eye. This system has authentication process at the same time as measuring bio signals, through non-contact method. In the future, this system can be convenient home bio signal monitoring system by combined with smart mirror. IOS Press 2018-05-29 /pmc/articles/PMC6004981/ /pubmed/29758958 http://dx.doi.org/10.3233/THC-174569 Text en © 2018 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This article is published online with Open Access and distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC 4.0). |
spellingShingle | Research Article Kim, Chan-Il Lee, Jong-Ha The non-contact biometric identified bio signal measurement sensor and algorithms |
title | The non-contact biometric identified bio signal measurement sensor and algorithms |
title_full | The non-contact biometric identified bio signal measurement sensor and algorithms |
title_fullStr | The non-contact biometric identified bio signal measurement sensor and algorithms |
title_full_unstemmed | The non-contact biometric identified bio signal measurement sensor and algorithms |
title_short | The non-contact biometric identified bio signal measurement sensor and algorithms |
title_sort | non-contact biometric identified bio signal measurement sensor and algorithms |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004981/ https://www.ncbi.nlm.nih.gov/pubmed/29758958 http://dx.doi.org/10.3233/THC-174569 |
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