Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/35918
Title: Smart optical sensors for internet of things: integration of temperature monitoring and customized security physical unclonable functions
Author: Dias, Lília M. S.
Ramalho, João F. C. B.
Silvério, Tiago
Fu, Lianshe
Ferreira, Rute A. S.
André, Paulo S.
Keywords: eHealth
IoT
Luminescence
mHealth
Physical unclonable functions
QR codes
Smart labels
Sensors
Thermometry
Authentication
Issue Date: 2022
Publisher: IEEE
Abstract: 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).
Peer review: yes
URI: http://hdl.handle.net/10773/35918
DOI: 10.1109/ACCESS.2022.3153051
Appears in Collections:CICECO - Artigos



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