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

---