Smart optical sensors for internet of things: integration of temperature monitoring and customized security physical unclonable functions
| Main Author: | |
|---|---|
| Publication Date: | 2022 |
| Other Authors: | , , , , |
| Format: | Article |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/10773/35918 |
Summary: | Nowadays, the Internet of Things (IoT) has an astonishingly societal impact in which healthcare services stand out. Amplified by the COVID-19 pandemic scenario, challenges include the development of authenticatable smart IoT devices with the ability to simultaneously track people and sense in realtime human body temperature aiming to infer a health condition in a contactless and remote way through user-friendly equipment such as a smartphone. Univocal smart labels based on quick response (QR) codes were designed and printed on medical substrates (protective masks and adhesive) using flexible organicinorganic luminescent inks. Luminescence thermometry and physical unclonable functions (PUFs) are simultaneously combined allowing non-contact temperature detection, identification, and connection with the IoT environment through a smartphone. This is an intriguing example where luminescent inks based on organic-inorganic hybrids modified by lanthanide ions are used to fabricate a smart label that can sense temperature with remarkable figures of merit, including maximum thermal sensitivity of Sr = 1.46 %K−1 and temperature uncertainty of δT = 0.2 K, and an authentication methodology accuracy, precision, and recall of 96.2%, 98.9%, and 85.7%, respectively. The methodology proposed is feasibly applied for the univocal identification and mobile optical temperature monitoring of individuals, allowing the control of the access to restricted areas and the information transfer to medical entities for post medical evaluation towards a new generation of mobile-assisted eHealth (mHealth). |
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Smart optical sensors for internet of things: integration of temperature monitoring and customized security physical unclonable functionseHealthIoTLuminescencemHealthPhysical unclonable functionsQR codesSmart labelsSensorsThermometryAuthenticationNowadays, the Internet of Things (IoT) has an astonishingly societal impact in which healthcare services stand out. Amplified by the COVID-19 pandemic scenario, challenges include the development of authenticatable smart IoT devices with the ability to simultaneously track people and sense in realtime human body temperature aiming to infer a health condition in a contactless and remote way through user-friendly equipment such as a smartphone. Univocal smart labels based on quick response (QR) codes were designed and printed on medical substrates (protective masks and adhesive) using flexible organicinorganic luminescent inks. Luminescence thermometry and physical unclonable functions (PUFs) are simultaneously combined allowing non-contact temperature detection, identification, and connection with the IoT environment through a smartphone. This is an intriguing example where luminescent inks based on organic-inorganic hybrids modified by lanthanide ions are used to fabricate a smart label that can sense temperature with remarkable figures of merit, including maximum thermal sensitivity of Sr = 1.46 %K−1 and temperature uncertainty of δT = 0.2 K, and an authentication methodology accuracy, precision, and recall of 96.2%, 98.9%, and 85.7%, respectively. The methodology proposed is feasibly applied for the univocal identification and mobile optical temperature monitoring of individuals, allowing the control of the access to restricted areas and the information transfer to medical entities for post medical evaluation towards a new generation of mobile-assisted eHealth (mHealth).IEEE2023-01-20T10:52:44Z2022-01-01T00:00:00Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/35918eng10.1109/ACCESS.2022.3153051Dias, Lília M. S.Ramalho, João F. C. B.Silvério, TiagoFu, LiansheFerreira, Rute A. S.André, Paulo S.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T04:42:23Zoai:ria.ua.pt:10773/35918Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:17:39.448760Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Smart optical sensors for internet of things: integration of temperature monitoring and customized security physical unclonable functions |
| title |
Smart optical sensors for internet of things: integration of temperature monitoring and customized security physical unclonable functions |
| spellingShingle |
Smart optical sensors for internet of things: integration of temperature monitoring and customized security physical unclonable functions Dias, Lília M. S. eHealth IoT Luminescence mHealth Physical unclonable functions QR codes Smart labels Sensors Thermometry Authentication |
| title_short |
Smart optical sensors for internet of things: integration of temperature monitoring and customized security physical unclonable functions |
| title_full |
Smart optical sensors for internet of things: integration of temperature monitoring and customized security physical unclonable functions |
| title_fullStr |
Smart optical sensors for internet of things: integration of temperature monitoring and customized security physical unclonable functions |
| title_full_unstemmed |
Smart optical sensors for internet of things: integration of temperature monitoring and customized security physical unclonable functions |
| title_sort |
Smart optical sensors for internet of things: integration of temperature monitoring and customized security physical unclonable functions |
| author |
Dias, Lília M. S. |
| author_facet |
Dias, Lília M. S. Ramalho, João F. C. B. Silvério, Tiago Fu, Lianshe Ferreira, Rute A. S. André, Paulo S. |
| author_role |
author |
| author2 |
Ramalho, João F. C. B. Silvério, Tiago Fu, Lianshe Ferreira, Rute A. S. André, Paulo S. |
| author2_role |
author author author author author |
| dc.contributor.author.fl_str_mv |
Dias, Lília M. S. Ramalho, João F. C. B. Silvério, Tiago Fu, Lianshe Ferreira, Rute A. S. André, Paulo S. |
| dc.subject.por.fl_str_mv |
eHealth IoT Luminescence mHealth Physical unclonable functions QR codes Smart labels Sensors Thermometry Authentication |
| topic |
eHealth IoT Luminescence mHealth Physical unclonable functions QR codes Smart labels Sensors Thermometry Authentication |
| description |
Nowadays, the Internet of Things (IoT) has an astonishingly societal impact in which healthcare services stand out. Amplified by the COVID-19 pandemic scenario, challenges include the development of authenticatable smart IoT devices with the ability to simultaneously track people and sense in realtime human body temperature aiming to infer a health condition in a contactless and remote way through user-friendly equipment such as a smartphone. Univocal smart labels based on quick response (QR) codes were designed and printed on medical substrates (protective masks and adhesive) using flexible organicinorganic luminescent inks. Luminescence thermometry and physical unclonable functions (PUFs) are simultaneously combined allowing non-contact temperature detection, identification, and connection with the IoT environment through a smartphone. This is an intriguing example where luminescent inks based on organic-inorganic hybrids modified by lanthanide ions are used to fabricate a smart label that can sense temperature with remarkable figures of merit, including maximum thermal sensitivity of Sr = 1.46 %K−1 and temperature uncertainty of δT = 0.2 K, and an authentication methodology accuracy, precision, and recall of 96.2%, 98.9%, and 85.7%, respectively. The methodology proposed is feasibly applied for the univocal identification and mobile optical temperature monitoring of individuals, allowing the control of the access to restricted areas and the information transfer to medical entities for post medical evaluation towards a new generation of mobile-assisted eHealth (mHealth). |
| publishDate |
2022 |
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2022-01-01T00:00:00Z 2022 2023-01-20T10:52:44Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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http://hdl.handle.net/10773/35918 |
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eng |
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eng |
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10.1109/ACCESS.2022.3153051 |
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openAccess |
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application/pdf |
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IEEE |
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IEEE |
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