Abstract
Thermal images are widely used for various healthcare applications and advanced research. However, thermal images captured by smartphone thermal cameras are not accurate for monitoring human body temperature due to the small body that is vulnerable to temperature change. In this paper, we propose ThermalWrist, a dynamic offset correction method for thermal images captured by smartphone thermal cameras. We fully utilize the characteristic that is specific to thermal cameras: the relative temperatures in a single thermal image are highly reliable, although the absolute temperatures fluctuate frequently. To correct the offset error, ThermalWrist combines thermal images with a reliable absolute temperature obtained by a wristband sensor based on the above characteristic. The evaluation results in an indoor air-conditioned environment shows that the mean absolute error and the standard deviation of face temperature measurement error decrease by 49.4% and 64.9%, respectively. In addition, Pearson’s correlation coefficient increases by 112%, highlighting the effectiveness of ThermalWrist. We also investigate the limitation with respect to the ambient temperature where ThermalWrist works effectively. The result shows ThermalWrist works well in the normal office environment, which is 22.91 °C and above.
Highlights
Thermal cameras are widely used to monitor the temperature [1] because they can measure temperature distributions quickly without physical contact
We propose ThermalWrist: a dynamic offset correction method for thermal images of faces captured by smartphone thermal cameras
We propose ThermalWrist: an offset correction method for thermal images of faces measured by a smartphone thermal camera by using a reference point combined with the specific feature of thermal cameras without any fixed devices
Summary
Thermal cameras are widely used to monitor the temperature [1] because they can measure temperature distributions quickly without physical contact. For this reason, they are used in various fields such as animals [2,3], agriculture [4], buildings [5] and humans. Thermal cameras are widely used because low-cost and miniaturized models are available on the market. FLIR ONE [13] is a low-cost thermal camera attached to a smartphone. The accuracy of the low-cost thermal camera is insufficient to monitor the skin temperature compared with the high-end models
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
