@Article{jihpp.2021.026380,
AUTHOR = {Yudan Zhao, Chaoyu Wang},
TITLE = {Heart Rate Detection Based on Facial Video},
JOURNAL = {Journal of Information Hiding and Privacy Protection},
VOLUME = {3},
YEAR = {2021},
NUMBER = {3},
PAGES = {121--130},
URL = {http://www.techscience.com/jihpp/v3n3/46707},
ISSN = {2637-4226},
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.},
DOI = {10.32604/jihpp.2021.026380}
}