A Thermal Camera Based Continuous Body Temperature Measurement System

Jia-Wei Lin, Ming-Hung Lu, Yuan-Hsiang Lin; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp. 0-0

Abstract


Body temperature acting an important role in medicine, a number of diseases are characterized by a change in human body temperature. Monitoring body temperature also allows the doctor to track the effectiveness of treatments. But current continuous body temperature measurement (CBTM) system is mainly limited by reaction time, movement noise, and labor requirement. In addition, the traditional contact body temperature measurement has the problem of wasting consumables and causing discomfort. To address above issues, we present a non-contact, automatic CBTM system using a single thermal camera. By applying deep-learning based face detection, object tracking, and calibrated conversion equation, we can successfully extract subject's forehead temperature in real-time. The experimental results show that the overall mean absolute error (MAE) and root-mean-squared-error (RMSE) of our proposed framework compared with industrial instrument are 0.375 degC and 0.439 degC, respectively.

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[bibtex]
@InProceedings{Lin_2019_ICCV,
author = {Lin, Jia-Wei and Lu, Ming-Hung and Lin, Yuan-Hsiang},
title = {A Thermal Camera Based Continuous Body Temperature Measurement System},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}