Open Access
ARTICLE
Heart Rate Detection Based on Facial Video
Yudan Zhao*, Chaoyu Wang
Wuhan Polytechnic University, Wuhan, 430023, China
* Corresponding Author: Yudan Zhao. Email:
Journal of Information Hiding and Privacy Protection 2021, 3(3), 121-130. https://doi.org/10.32604/jihpp.2021.026380
Received 23 December 2021; Accepted 03 January 2022; Issue published 07 February 2022
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.
Keywords
Cite This Article
Y. Zhao and C. Wang, "Heart rate detection based on facial video,"
Journal of Information Hiding and Privacy Protection, vol. 3, no.3, pp. 121–130, 2021. https://doi.org/10.32604/jihpp.2021.026380