What not to do in facial infrared thermographic measurements: A post data enhancement

Journal article


Pike, M., Yeboah, S. and Fu, X. (2024). What not to do in facial infrared thermographic measurements: A post data enhancement. Engineering Applications of Artificial Intelligence. 136 (Part B), p. 109027. https://doi.org/10.1016/j.engappai.2024.109027
AuthorsPike, M., Yeboah, S. and Fu, X.
Abstract

The accuracy of infrared thermographic measurements depends on several factors, including movement of target. In this study, accuracy of nose tip temperatures obtained in a mental workload assessment using a thermal imaging camera were impacted by participants’ movement and camera zooming/panning. To correct these measurement errors, we compared manual facial landmark identification techniques using data labelling software with an automated deep learning-based approach utilised for facial landmark tracking and evaluated both against the built-in tracking features of the thermal camera, Thermal Spot Tracking. Using the Manual Thermal Landmark Annotation measurements as the ground truth, our results show that the Automated Facial Feature Tracking approach, which is the AI based approach performed better than the Thermal Spot Tracking as it matched comparatively more spatial coordinates and temperature datapoints as well as showed comparatively lower mean relative error. The study highlights the potential of AI in enhancing the accuracy of thermographic measurements, particularly in applications involving facial temperature analysis.

KeywordsDeep learning; Convolutional neural network; Facial landmark detection; Infrared thermography
Year2024
JournalEngineering Applications of Artificial Intelligence
Journal citation136 (Part B), p. 109027
PublisherElsevier
ISSN1873-6769
0952-1976
Digital Object Identifier (DOI)https://doi.org/10.1016/j.engappai.2024.109027
Web address (URL)https://www.sciencedirect.com/science/article/pii/S0952197624011850?via%3Dihub
Publication dates
Online23 Jul 2024
Publication process dates
Accepted19 Jul 2024
Deposited22 Aug 2024
Accepted author manuscript
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Open
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