This is the authors' abstract. We don't add key points for this paper.
One of the most important health parameters and a critical indicator of the physiological condition of people is the heart rate (HR); thus, it is important to monitor. HR estimation from facial videos is a low- cost, simple, and comfortable method; therefore, it has enjoyed great interest in recent years. In this paper, we give a review of some public datasets used in evaluating non-contact HR estimation methods, the parameters of HR estimating from facial video system with a set of recent studies that dealt with them, review some of recent related reviews and surveys, and finally, the applications of non-contact HR monitoring system by a camera. This review shows that the non-contact photoplethysmography method attracted more interest since 2013. We can deduce that there was no general-purpose system that can fit all types of HR-monitoring, instead, the designer can first select the usage environment, then sets the suitable system parameters that are most fulfills the application demands.
No takes yet. Share an insight, caveat, or question.
Duaa H. Ali (2021) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: