The monitoring of physiological parameters is a crucial topic in promoting human health and
an indispensable approach for assessing physiological status and diagnosing diseases …

Heart rate (HR) ranks among the most critical physiological indicators in the human body,
significantly illuminating an individual's state of physical health. Distinguished from …

Machine learning models often perform poorly on subgroups that are underrepresented in
the training data. Yet, little is understood on the variation in mechanisms that cause …

Camera-based physiological measurement is a fast growing field of computer vision.
Remote photoplethysmography (rPPG) utilizes imaging devices (eg, cameras) to measure …

Remote photoplethysmography (rPPG) is an important technique for detecting human vital
signs and has received extensive attention. For a long time, researchers have focused …

Video-based remote physiological measurement utilizes facial videos to measure the blood
volume change signal, which is also called remote photoplethysmography (rPPG) …

Deep regression models typically learn in an end-to-end fashion without explicitly
emphasizing a regression-aware representation. Consequently, the learned representations …

The success of contrastive learning is well known to be dependent on data augmentation.
Although the degree of data augmentations has been well controlled by utilizing pre-defined …

Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume
changes from a camera by detecting minor fluctuations in reflected light. Prior applications of …

Remote camera measurement of the blood volume pulse via photoplethysmography (rPPG)
is a compelling technology for scalable low-cost and accessible assessment of …