NOVEL AI BASED APPROACH FOR HUMAN BODY TEMPERATURE EVALUATION USING INNER EYE CANTHUS LOCALIZATION FROM CAMERA FEED

PDF

Published: 2022-10-17

DOI: 10.56557/jobari/2022/v28i57897

Page: 24-31


RAHUL KUSHWAH

Predictmedix, Canada.

RAJIV MURADIA

Predictmedix, Canada.

ANKUR SINGH BIST *

Predictmedix, Canada.

*Author to whom correspondence should be addressed.


Abstract

In this paper, we report development of an Artificial Intelligence (“AI”) based pipeline to localize inner canthus for human body temperature evaluation. Locating inner canthus in a camera feed remains a challenging endeavor. We have utilized numerous Facial points, nose points and eye landmarks to locate inner canthus and report four novel aspects of our work in evaluating human body temperature. Our first novelty lies in the process of locating ROI for correct observations. Our second novelty lies in solving the challenge of mapping RGB and Thermal images to get exact data points. Our third novelty lies in testing our algorithms/technology by developing automated testing pipelines on large datasets. Moreover, the fourth novel aspect of our work lies in our methodology to normalize the temperature from forehead, inner canthus & using our hardware configuration. We tested our algorithm with data comprising of different age groups, gender and geographical location and obtained 98.37% accuracy.

Keywords: Human body temperature, canthus, face recognition


How to Cite

KUSHWAH, R., MURADIA, R., & BIST, A. S. (2022). NOVEL AI BASED APPROACH FOR HUMAN BODY TEMPERATURE EVALUATION USING INNER EYE CANTHUS LOCALIZATION FROM CAMERA FEED. Journal of Basic and Applied Research International, 28(5), 24–31. https://doi.org/10.56557/jobari/2022/v28i57897

Downloads

Download data is not yet available.

References

Chin JW, Wong KL, Chan TT, Suhartono K, So RH. An infrared thermography model enabling remote body temperature screening up to 10 meters. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2021;3875-81.

Ferrari C, Berlincioni L, Bertini M, Del Bimbo A. Inner eye canthus localization for human body temperature screening. In: 25th International Conference on Pattern Recognition (ICPR). IEEE Publications. 2021;8833-40.

Ferrari C, Lisanti G, A. Bimbo. Computer science – dictionary learning based 3D morphable model construction for face recognition with varying expression and pose; 2015

Zhao W, Chellappa R, Phillips PJ, Rosenfeld A. Face recognition: a literature survey. ACM Comput Surv (CSUR). 2003;35(4):399-458.

Wen Y, He L, Shi P. Face recognition using difference vector plus KPCA. Digit Signal Process. 2012;22(1):140-6.

Cheung M, Chan, Lung, Lauder I, Kumana C. 2012. Detection of body temperature with infrared thermography: accuracy in detection of fever. Hong Kong medical journal Xianggang yi xue za zhi / Hong Kong Academy of Medicine.

Livanos N, Hammal S, Nikolopoulos CD, Baklezos AT, Capsalis CN, Koulouras GE et al. Design and interdisciplinary simulations of a hand-held device for internal-body temperature sensing using microwave radiometry. IEEE Sens J. 2018;18(6):2421-33.

Cheong YK, Yap VV, Nisar H. A novel face detection algorithm using thermal imaging. IEEE Symp Comput Appl Ind Electron (ISCAIE). 2014:208-13.

Viola P, Jones M. Rapid object detection using a boosted cascade of simple features. In: Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition (CVPR); 2001.