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.

中文翻译：

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使用网络摄像头进行非接触式心率测量，基于联合盲源分离和皮肤反射模型：适用于各种成像条件

远程光电容积脉搏波 (rPPG) 可用于非接触式和连续测量心率 (HR)。目前，影响基于 rPPG 的 HR 测量方法的准确性和稳健性的主要因素是受试者的肤色、身体运动、运动恢复以及可变或不足的照明。为应对这些挑战，本研究旨在研究一种基于 rPPG 的 HR 测量方法，该方法仅使用网络摄像头即可在各种条件下有效。我们提出了一种新的方法，将联合盲源分离（JBSS）和基于皮肤反射模型的投影过程相结合，以消除背景照明的干扰并增强对脉搏率信息的提取。考虑到六种环境场景，来自具有不同肤色的受试者的三个数据集用于针对其他三种最先进的方法验证所提出的方法。结果表明，所提出的方法可以为所有三个数据集提供更准确和稳健的 HR 测量，因此更适用于更广泛的场景。