Continuous monitoring of vital signs using cameras: A systematic review

V Selvaraju, N Spicher, J Wang, N Ganapathy… - Sensors, 2022 - mdpi.com
In recent years, noncontact measurements of vital signs using cameras received a great
amount of interest. However, some questions are unanswered:(i) Which vital sign is …

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 …

Physformer: Facial video-based physiological measurement with temporal difference transformer

Z Yu, Y Shen, J Shi, H Zhao… - Proceedings of the …, 2022 - openaccess.thecvf.com
Remote photoplethysmography (rPPG), which aims at measuring heart activities and
physiological signals from facial video without any contact, has great potential in many …

Physformer++: Facial video-based physiological measurement with slowfast temporal difference transformer

Z Yu, Y Shen, J Shi, H Zhao, Y Cui, J Zhang… - International Journal of …, 2023 - Springer
Remote photoplethysmography (rPPG), which aims at measuring heart activities and
physiological signals from facial video without any contact, has great potential in many …

Contrast-phys: Unsupervised video-based remote physiological measurement via spatiotemporal contrast

Z Sun, X Li - European Conference on Computer Vision, 2022 - Springer
Video-based remote physiological measurement utilizes face videos to measure the blood
volume change signal, which is also called remote photoplethysmography (rPPG) …

A review of psychophysiological measures to assess cognitive states in real-world driving

M Lohani, BR Payne, DL Strayer - Frontiers in human neuroscience, 2019 - frontiersin.org
As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …

The way to my heart is through contrastive learning: Remote photoplethysmography from unlabelled video

J Gideon, S Stent - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
The ability to reliably estimate physiological signals from video is a powerful tool in low-cost,
pre-clinical health monitoring. In this work we propose a new approach to remote …

Luvli face alignment: Estimating landmarks' location, uncertainty, and visibility likelihood

A Kumar, TK Marks, W Mou, Y Wang… - Proceedings of the …, 2020 - openaccess.thecvf.com
Modern face alignment methods have become quite accurate at predicting the locations of
facial landmarks, but they do not typically estimate the uncertainty of their predicted locations …

Deep learning methods for remote heart rate measurement: A review and future research agenda

CH Cheng, KL Wong, JW Chin, TT Chan, RHY So - Sensors, 2021 - mdpi.com
Heart rate (HR) is one of the essential vital signs used to indicate the physiological health of
the human body. While traditional HR monitors usually require contact with skin, remote …

Synthetic generation of face videos with plethysmograph physiology

Z Wang, Y Ba, P Chari, OD Bozkurt… - Proceedings of the …, 2022 - openaccess.thecvf.com
Accelerated by telemedicine, advances in Remote Photoplethysmography (rPPG) are
beginning to offer a viable path toward non-contact physiological measurement …