Camera measurement of physiological vital signs
D McDuff - ACM Computing Surveys, 2023 - dl.acm.org
The need for remote tools for healthcare monitoring has never been more apparent. Camera
measurement of vital signs leverages imaging devices to compute physiological changes by …
measurement of vital signs leverages imaging devices to compute physiological changes by …
Synthetic data in human analysis: A survey
Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …
of applications, such as biometric recognition, action recognition, as well as person re …
Skin deep: Investigating subjectivity in skin tone annotations for computer vision benchmark datasets
To investigate the well-observed racial disparities in computer vision systems that analyze
images of humans, researchers have turned to skin tone as a more objective annotation …
images of humans, researchers have turned to skin tone as a more objective annotation …
Scamps: Synthetics for camera measurement of physiological signals
The use of cameras and computational algorithms for noninvasive, low-cost and scalable
measurement of physiological (eg, cardiac and pulmonary) vital signs is very attractive …
measurement of physiological (eg, cardiac and pulmonary) vital signs is very attractive …
Synthetic data and its utility in pathology and laboratory medicine
J Pantanowitz, CD Manko, L Pantanowitz… - Laboratory …, 2024 - Elsevier
In our rapidly expanding landscape of artificial intelligence (AI), synthetic data has become a
topic of great promise but also some concern. This review aims to provide pathologists and …
topic of great promise but also some concern. This review aims to provide pathologists and …
X-iPPGNet: A novel one stage deep learning architecture based on depthwise separable convolutions for video-based pulse rate estimation
Pulse rate (PR) is one of the most important markers for assessing a person's health. With
the increasing demand for long-term health monitoring, much attention is being paid to …
the increasing demand for long-term health monitoring, much attention is being paid to …
Ai-generated images as data source: The dawn of synthetic era
The advancement of visual intelligence is intrinsically tethered to the availability of data. In
parallel, generative Artificial Intelligence (AI) has unlocked the potential to create synthetic …
parallel, generative Artificial Intelligence (AI) has unlocked the potential to create synthetic …
[HTML][HTML] Video-based heart rate estimation from challenging scenarios using synthetic video generation
Y Benezeth, D Krishnamoorthy, DJB Monsalve… - … Signal Processing and …, 2024 - Elsevier
Remote photoplethysmography (rPPG) is an emerging technology that allows for non-
invasive monitoring of physiological signals such as heart rate, blood oxygen saturation, and …
invasive monitoring of physiological signals such as heart rate, blood oxygen saturation, and …
Augmentation of rPPG benchmark datasets: Learning to remove and embed rPPG signals via double cycle consistent learning from unpaired facial videos
CJ Hsieh, WH Chung, CT Hsu - European Conference on Computer …, 2022 - Springer
Remote estimation of human physiological condition has attracted urgent attention during
the pandemic of COVID-19. In this paper, we focus on the estimation of remote …
the pandemic of COVID-19. In this paper, we focus on the estimation of remote …
Motion matters: Neural motion transfer for better camera physiological measurement
Abstract Machine learning models for camera-based physiological measurement can have
weak generalization due to a lack of representative training data. Body motion is one of the …
weak generalization due to a lack of representative training data. Body motion is one of the …