Loading...
Please wait, while we are loading the content...
Intelligent Remote Photoplethysmography-Based Methods for Heart Rate Estimation from Face Videos: A Survey
| Content Provider | MDPI |
|---|---|
| Author | Premkumar, Smera Hemanth, Duraisamy Jude |
| Copyright Year | 2022 |
| Description | Over the last few years, a rich amount of research has been conducted on remote vital sign monitoring of the human body. Remote photoplethysmography (rPPG) is a camera-based, unobtrusive technology that allows continuous monitoring of changes in vital signs and thereby helps to diagnose and treat diseases earlier in an effective manner. Recent advances in computer vision and its extensive applications have led to rPPG being in high demand. This paper specifically presents a survey on different remote photoplethysmography methods and investigates all facets of heart rate analysis. We explore the investigation of the challenges of the video-based rPPG method and extend it to the recent advancements in the literature. We discuss the gap within the literature and suggestions for future directions. |
| Starting Page | 57 |
| e-ISSN | 22279709 |
| DOI | 10.3390/informatics9030057 |
| Journal | Informatics |
| Issue Number | 3 |
| Volume Number | 9 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-08-07 |
| Access Restriction | Open |
| Subject Keyword | Informatics Information and Library Science Remote Photoplethysmography Face Videos Deep Learning Heart Rate |
| Content Type | Text |
| Resource Type | Article |
