rPPG Algorithm for Heart Rate Estimation based on
Color Intensity
Journal:
GRENZE International Journal of Engineering and Technology
Authors:
Ruchika Sinhal, Kavita Singh, Ravi Wasalwar
Volume:
6
Issue:
2
Grenze ID:
01.GIJET.6.2.14
Pages:
154-158
Abstract
With increasing advancements and developments in the field of digital image
processing and computer vision, the individual heart pulse can be extracted from human
skin surfaces. This method is referred to as remote photoplethysmography (rPPG). The
method can also be applied from a video recorded from a consumer-based mobile camera.
The paper demonstrates a proposed simple rPPG algorithm that should be simple for any
individual to understand and implement that will increase the understanding of the rPPG
subject. The paper compares the algorithm designed for RGB color model with the
developed rPPG. The comparative analysis of rPPG algorithms demonstrates high
performance for green channel as compared to other algorithms.