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Naser, A. 
ORCID: 0000-0001-5969-1756, Lotfi, A. ORCID: 0000-0002-5139-6565 and Zhong, J. ORCID: 0000-0001-7642-2961,
2022.
Calibration of low-resolution thermal imaging for human monitoring applications.
IEEE Sensors Letters.
ISSN 2475-1472
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Abstract
Thermal imaging has recently come to light to measure high human body temperature (fever) in responses to the global public health issues. This is normally achieved by very expensive high-resolution thermal cameras. Lately, there has been a new commercial low-resolution Thermal Sensor Array (TSA) that have gained growing interest in indoor human monitoring applications due to their low-cost and human privacy-preserving claims. However, there has not been sufficient independent empirical calibration of low-resolution TSA and high-resolution images for human-centred applications. This letter provides empirical calibration of low- and high-resolution thermal imaging techniques in terms of their visible outputs, accuracy in temperature values and stability. Besides, this letter assesses the claimed privacy-preserving feature of TSA by experimentally validating the possibility of revoking the human identity from the TSA's output. Thus, this letter aims to understand better the advantages, limitations, and future trends of using TSA in human monitoring applications.
| Item Type: | Journal article | ||||||
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| Publication Title: | IEEE Sensors Letters | ||||||
| Creators: | Naser, A., Lotfi, A. and Zhong, J. | ||||||
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | ||||||
| Date: | 3 March 2022 | ||||||
| ISSN: | 2475-1472 | ||||||
| Identifiers: |
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| Rights: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Jeremy Silvester | ||||||
| Date Added: | 10 Mar 2022 10:37 | ||||||
| Last Modified: | 02 Sep 2022 08:24 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/45843 |
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