Abstract
Remote photoplethysmography (rPPG) can be used for noncontact and continuous measurement of the heart rate (HR). Currently, the main factors affecting the accuracy and robustness of rPPG‐based HR measurement methods are the subject’s skin tone, body movement, exercise recovery, and variable or inadequate illumination. In response to these challenges, this study is aimed at investigating a rPPG‐based HR measurement method that is effective under a wide range of conditions by only using a webcam. We propose a new approach, which combines joint blind source separation (JBSS) and a projection process based on a skin reflection model, so as to eliminate the interference of background illumination and enhance the extraction of pulse rate information. Three datasets derived from subjects with different skin tones considering six environmental scenarios are used to validate the proposed method against three other state‐of‐the‐art methods. The results show that the proposed method can provide more accurate and robust HR measurement for all three datasets and is therefore more applicable to a wide range of scenarios.
Highlights
IntroductionAs an alternative and less obtrusive method, remote photoplethysmography (rPPG) has offered a low-cost and contactless approach for measuring heart rate (HR) with a camera
The heart rate (HR) is a widely used indicator of health status [1, 2]
The results from the data obtained in our earlier study [21] show that, with sufficient illumination, planar orthogonal-to-skin (POS), Project_ICA, and the proposed method, all of which are based on the skin reflection model, have better outcomes than the JBSS_EEMD approach
Summary
As an alternative and less obtrusive method, remote photoplethysmography (rPPG) has offered a low-cost and contactless approach for measuring HR with a camera. The diffused component is the reflected light that remains after absorption and scattering in the skin, subdermal tissue, and blood. It varies with changes in blood volume and the movement of the blood vessel wall [7,8,9]. RGB channels Y ×3 A[1] A[2] ×3 A[1] × Zero vector × S[1].
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