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Recently, physiological signal-based biometric systems have received wide attention. Unlike traditional biometric features, physiological signals can not be easily compromised (usually unobservable to human eyes). Photoplethysmography (PPG)…

Cryptography and Security · Computer Science 2024-10-28 Lin Li , Chao Chen , Lei Pan , Yonghang Tai , Jun Zhang , Yang Xiang

Biometric authentication prospered because of its convenient use and security. Early generations of biometric mechanisms suffer from spoofing attacks. Recently, unobservable physiological signals (e.g., Electroencephalogram,…

Cryptography and Security · Computer Science 2024-01-29 Lin Li , Chao Chen , Lei Pan , Leo Yu Zhang , Zhifeng Wang , Jun Zhang , Yang Xiang

Remote photoplethysmography (rPPG) is a non-contact method for measuring cardiac signals from facial videos, offering a convenient alternative to contact photoplethysmography (cPPG) obtained from contact sensors. Recent studies have shown…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Zhaodong Sun , Xiaobai Li , Jukka Komulainen , Guoying Zhao

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

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

Camera-based photoplethysmography (PPG) obtained from smartphones has shown great promise for personalized healthcare and secure authentication. This paper presents a multimodal biometric system that integrates PPG signals extracted from…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Xue Xian Zheng , M. M. Ur Rahma , Bilal Taha , Mudassir Masood , Dimitrios Hatzinakos , Tareq Al-Naffouri

Amongst all medical biometric traits, Photoplethysmograph (PPG) is the easiest to acquire. PPG records the blood volume change with just combination of Light Emitting Diode and Photodiode from any part of the body. With IoT and smart homes'…

Cryptography and Security · Computer Science 2017-12-25 Umang Yadav , Sherif N Abbas , Dimitrios Hatzinakos

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

Remote Photoplethysmography (rPPG) is the process of estimating PPG from facial videos. While this approach benefits from contactless interaction, it is reliant on videos of faces, which often constitutes an important privacy concern.…

Computer Vision and Pattern Recognition · Computer Science 2023-06-05 Divij Gupta , Ali Etemad

Photoplethysmography (PPG) signals, typically acquired from wearable devices, hold significant potential for continuous fitness-health monitoring. In particular, heart conditions that manifest in rare and subtle deviating heart patterns may…

Machine Learning · Computer Science 2023-07-14 Ramin Ghorbani , Marcel J. T. Reinders , David M. J. Tax

In the first half of the 20th century, a first pulse oximeter was available to measure blood flow changes in the peripheral vascular net. However, it was not until recent times the PhotoPlethysmoGraphic (PPG) signal used to monitor many…

Signal Processing · Electrical Eng. & Systems 2020-12-21 Javier de Pedro-Carracedo , David Fuentes-Jimenez , Ana M. Ugena , Ana P. Gonzalez-Marcos

Remote photoplethysmography (rPPG) offers a state-of-the-art, non-contact methodology for estimating human pulse by analyzing facial videos. Despite its potential, rPPG methods can be susceptible to various artifacts, such as noise,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-01 Nhi Nguyen , Le Nguyen , Constantino Álvarez Casado , Olli Silvén , Miguel Bordallo López

Photoplethysmography (PPG) signals have become a key technology in many fields, such as medicine, well-being, or sports. Our work proposes a set of pipelines to extract remote PPG signals (rPPG) from the face robustly, reliably, and…

Computer Vision and Pattern Recognition · Computer Science 2023-05-08 Constantino Álvarez Casado , Miguel Bordallo López

Photoplethysmography (PPG) is a non-invasive and economical technique to extract vital signs of the human body. Although it has been widely used in consumer and research grade wrist devices to track a user's physiology, the PPG signal is…

Signal Processing · Electrical Eng. & Systems 2021-09-08 Runyu Mao , Mackenzie Tweardy , Stephan W. Wegerich , Craig J. Goergen , George R. Wodicka , Fengqing Zhu

Facial video-based remote physiological measurement aims to estimate remote photoplethysmography (rPPG) signals from human face videos and then measure multiple vital signs (e.g. heart rate, respiration frequency) from rPPG signals. Recent…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Zijie Yue , Miaojing Shi , Shuai Ding

As smart wearable devices become increasingly powerful and pervasive, protecting user privacy on these devices has emerged as a critical challenge. While existing authentication mechanisms are available for interaction-rich devices such as…

Human-Computer Interaction · Computer Science 2026-02-10 Jiacheng Liu , Jiankai Tang , Guangye Zhao , Ruichen Gui , Songqin Cheng , Taiting Lu , Jian Liu , Weiqiang Wang , Mahanth Gowda , Yuanchun Shi , Yuntao Wang

Remote photoplethysmography (rPPG) aims to measure non-contact physiological signals from facial videos, which has shown great potential in many applications. Most existing methods directly extract video-based rPPG features by designing…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Shuyang Chu , Menghan Xia , Mengyao Yuan , Xin Liu , Tapio Seppanen , Guoying Zhao , Jingang Shi

Photorealistic talking-head avatars are becoming increasingly common in virtual meetings, gaming, and social platforms. These avatars allow for more immersive communication, but they also introduce serious security risks. One emerging…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Laura Pedrouzo-Rodriguez , Pedro Delgado-DeRobles , Luis F. Gomez , Ruben Tolosana , Ruben Vera-Rodriguez , Aythami Morales , Julian Fierrez

In this paper, we propose a system that enables photoplethysmogram (PPG)-based authentication by using a smartphone camera. PPG signals are obtained by recording a video from the camera as users are resting their finger on top of the camera…

Computer Vision and Pattern Recognition · Computer Science 2020-11-06 Giulio Lovisotto , Henry Turner , Simon Eberz , Ivan Martinovic

Camera-based remote photoplethysmography (rPPG) provides a non-contact way to measure physiological signals (e.g., heart rate) using facial videos. Recent deep learning architectures have improved the accuracy of such physiological…

Computer Vision and Pattern Recognition · Computer Science 2021-06-14 Yunhao Ba , Zhen Wang , Kerim Doruk Karinca , Oyku Deniz Bozkurt , Achuta Kadambi
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