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Heart Rate Detection Based on Facial Video

Yudan Zhao*, Chaoyu Wang

Wuhan Polytechnic University, Wuhan, 430023, China

* Corresponding Author: Yudan Zhao. Email: email

Journal of Information Hiding and Privacy Protection 2021, 3(3), 121-130. https://doi.org/10.32604/jihpp.2021.026380

Abstract

Heart rate is an important data reflecting human vital characteristics and an important reference index to describe human physical and mental state. Currently, widely used heart rate measurement devices require direct contact with a person’s skin, which is not suitable for people with burns, delicate skin, newborns and the elderly. Therefore, the research of non-contact heart rate measurement method is of great significance. Based on the basic principle of Photoplethysmography, we use the camera of computer equipment to capture the face image, detect the face region accurately, and detect multiple faces in the image based on multi-target tracking algorithm. Then the region segmentation of the face image is carried out to further realize the signal acquisition of the region of interest. Finally, peak detection, Fourier analysis and wavelet analysis were used to detect the frequency of PPG and ECG signals. The experimental results show that the heart rate information can be quickly and accurately detected even in the case of monitoring multiple face targets.

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Cite This Article

APA Style
Zhao, Y., Wang, C. (2021). Heart rate detection based on facial video. Journal of Information Hiding and Privacy Protection, 3(3), 121-130. https://doi.org/10.32604/jihpp.2021.026380
Vancouver Style
Zhao Y, Wang C. Heart rate detection based on facial video. J Inf Hiding Privacy Protection . 2021;3(3):121-130 https://doi.org/10.32604/jihpp.2021.026380
IEEE Style
Y. Zhao and C. Wang, “Heart Rate Detection Based on Facial Video,” J. Inf. Hiding Privacy Protection , vol. 3, no. 3, pp. 121-130, 2021. https://doi.org/10.32604/jihpp.2021.026380



cc Copyright © 2021 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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