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Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of rPPG focused on face videos. In this paper we explored the…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Lu Niu , Jeremy Speth , Nathan Vance , Benjamin Sporrer , Adam Czajka , Patrick Flynn

Video-based remote photoplethysmography (rPPG) has emerged as a promising technology for non-contact vital sign monitoring, especially under controlled conditions. However, the accurate measurement of vital signs in real-world scenarios…

Computer Vision and Pattern Recognition · Computer Science 2024-05-03 Nhi Nguyen , Le Nguyen , Honghan Li , Miguel Bordallo López , Constantino Álvarez Casado

In this paper, we propose a method that learns a general representation of periodic signals from unlabeled facial videos by capturing subtle changes in skin tone over time. The proposed framework employs the video masked autoencoder to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Jiho Choi , Sang Jun Lee

In recent years, due to the widespread use of internet videos, remote photoplethysmography (rPPG) has gained more and more attention in the fields of affective computing. Restoring blood volume pulse (BVP) signals from facial videos is a…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Kegang Wang , Yantao Wei , Jiankai Tang , Yuntao Wang , Mingwen Tong , Jie Gao , Yujian Ma , Zhongjin Zhao

Video-based remote physiological measurement utilizes facial videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG). Supervised methods for rPPG measurements have been shown to achieve good…

Computer Vision and Pattern Recognition · Computer Science 2024-02-20 Zhaodong Sun , Xiaobai Li

Facial remote photoplethysmography (rPPG) methods estimate physiological signals by modeling subtle color changes on the 3D facial surface over time. However, existing methods fail to explicitly align their receptive fields with the 3D…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Sam Cantrill , David Ahmedt-Aristizabal , Lars Petersson , Hanna Suominen , Mohammad Ali Armin

Detecting 3D mask attacks to a face recognition system is challenging. Although genuine faces and 3D face masks show significantly different remote photoplethysmography (rPPG) signals, rPPG-based face anti-spoofing methods often suffer from…

Computer Vision and Pattern Recognition · Computer Science 2023-05-26 Chenglin Yao , Jianfeng Ren , Ruibin Bai , Heshan Du , Jiang Liu , Xudong Jiang

Unaddressed pain in neonates can lead to adverse effects, including delayed development and slower weight gain, emphasising the need for more objective and reliable pain assessment methods. Hence, automated methods using behavioural and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Ashutosh Dhamaniya , Anup Kumar Gupta , Trishna Saikia , Puneet Gupta

Remote photoplethysmography (rPPG) enables non-contact measurement of physiological signals from facial videos, offering strong potential for remote healthcare and daily health monitoring. Driven by this potential, various deep…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Jun Seong Lee , Samyeul Noh , Changki Sung , Hyun Myung

Remote photoplethysmography (rPPG) is a non-contact technique for measuring human physiological signals. Due to its convenience and non-invasiveness, it has demonstrated broad application potential in areas such as health monitoring and…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Zhipeng Li , Kegang Wang , Hanguang Xiao , Xingyue Liu , Feizhong Zhou , Jiaxin Jiang , Tianqi Liu

Remote photoplethysmography (rPPG) enables contactless physiological monitoring by capturing subtle skin-color variations from facial videos. However, most existing methods predominantly rely on time-domain modeling, making them vulnerable…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Wei Qian , Dan Guo , Jinxing Zhou , Bochao Zou , Zitong Yu , Meng Wang

Heartbeat rhythm and heart rate (HR) are important physiological parameters of the human body. This study presents an efficient multi-hierarchical spatio-temporal convolutional network that can quickly estimate remote physiological (rPPG)…

Computer Vision and Pattern Recognition · Computer Science 2023-04-24 Bin Li , Panpan Zhang , Jinye Peng , Hong Fu

Remote photoplethysmography (rPPG) emerges as a promising method for non-invasive, convenient measurement of vital signs, utilizing the widespread presence of cameras. Despite advancements, existing datasets fall short in terms of size and…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Jiankai Tang , Xinyi Li , Jiacheng Liu , Xiyuxing Zhang , Zeyu Wang , Yuntao Wang

Vital sign measurement using cameras presents opportunities for comfortable, ubiquitous health monitoring. Remote photoplethysmography (rPPG), a foundational technology, enables cardiac measurement through minute changes in light reflected…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Kegang Wang , Jiankai Tang , Yuntao Wang , Xin Liu , Yuxuan Fan , Jiatong Ji , Yuanchun Shi , Daniel McDuff

Remote photoplethysmography (rPPG) is a technique for estimating blood volume changes from reflected light without the need for a contact sensor. We present the first examples of presentation attacks in the digital and physical domains on…

Computer Vision and Pattern Recognition · Computer Science 2021-10-25 Jeremy Speth , Nathan Vance , Patrick Flynn , Kevin W. Bowyer , Adam Czajka

Automatic pain recognition is paramount for medical diagnosis and treatment. The existing works fall into three categories: assessing facial appearance changes, exploiting physiological cues, or fusing them in a multi-modal manner. However,…

Computer Vision and Pattern Recognition · Computer Science 2021-12-28 Ruijing Yang , Ziyu Guan , Zitong Yu , Xiaoyi Feng , Jinye Peng , Guoying Zhao

Depression is a mental illness that may be harmful to an individual's health. The detection of mental health disorders in the early stages and a precise diagnosis are critical to avoid social, physiological, or psychological side effects.…

Computer Vision and Pattern Recognition · Computer Science 2022-06-10 Constantino Álvarez Casado , Manuel Lage Cañellas , Miguel Bordallo López

Remote photoplethysmography (rPPG) is a method for measuring a subjects heart rate remotely using a camera. Factors such as subject movement, ambient light level, makeup etc. complicate such measurements by distorting the observed pulse.…

Computer Vision and Pattern Recognition · Computer Science 2025-02-05 Alexey Protopopov

Remote photoplethysmography (rPPG) holds great promise for continuous heart-rate monitoring of drivers in intelligent vehicles. However, its performance is severely degraded by the highly dynamic illumination changes. A critical yet…

Computer Vision and Pattern Recognition · Computer Science 2026-05-07 Jieying Wang , Xinqi Cai , Caifeng Shan , Wenjin Wang

Remote photoplethysmography (rPPG) is a promising technology that captures physiological signals from face videos, with potential applications in medical health, emotional computing, and biosecurity recognition. The demand for rPPG tasks…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Yuting Zhang , Hao Lu , Xin Liu , Yingcong Chen , Kaishun Wu