Results 91 to 100 of about 1,319 (186)
Non-Contrastive Unsupervised Learning of Physiological Signals from Video
Subtle periodic signals such as blood volume pulse and respiration can be extracted from RGB video, enabling remote health monitoring at low cost. Advancements in remote pulse estimation -- or remote photoplethysmography (rPPG) -- are currently driven by
Czajka, Adam +3 more
core
Local blood flow analysis and visualization from RGB-video sequences
The extraction of heart rate and other vital parameters from video recordings of a person has attracted much attention over the last years. In this paper, we examine time differences between distinct spatial regions using remote photoplethysmography ...
Kossack Benjamin +4 more
doaj +1 more source
Exploring Low Cost Non-Contact Detection of Biosignals for HCI
In an effort to make biosignal integration more accessible to explore for more HCI researchers, this paper presents our investigation of how well a standard, near ubiquitous webcam can support remote sensing of heart rate and respiration rate across skin
Bodala, Indu +2 more
core
Deteksi Detak Jantung Menggunakan Remote Photoplethysmograph dengan Perubahan Jarak dan Jenis Kamera Secara Dinamis [PDF]
Sinyal Photoplethysmograph (PPG) dapat digunakan untuk mengukur saturasi oksigen dalam darah, tekanan darah dan detak jantung. Metode konvensional yang sering kali digunakan untuk mendeteksi detak jantung, diantaranya: oksimetri, tensimeter, wearable ...
Philbert, Nicholas +4 more
core +2 more sources
Background Advancements in health monitoring technologies are increasingly relying on capturing heart signals from video, a method known as remote photoplethysmography (rPPG). This study aims to enhance the accuracy of rPPG signals using a novel computer
Rodrigo Castellano Ontiveros +2 more
doaj +1 more source
PhysBench: A Benchmark Framework for rPPG with a New Dataset and Baseline
In recent years, due to the widespread use of internet videos, physiological remote sensing has gained more and more attention in the fields of affective computing and telemedicine.
Gao, Jie +6 more
core
Advanced technologies, notably camera-based systems using remote photoplethysmography (rPPG), are increasingly used in automotive safety to non-invasively monitor driver well-being and fatigue by measuring physiological metrics like heart and respiration
Soha G. Ahmed +5 more
doaj +1 more source
Contactless Measurement of Pulse Transit Time Between Upper Extremities During Simulated Stenosis
This paper proposes a novel approach for the noninvasive assessment of different degrees of stenosis by remote photoplethysmography (rPPG) using an RGB camera.
Tauber Samuel +3 more
doaj +1 more source
ST-Phys: Unsupervised Spatio-Temporal Contrastive Remote Physiological Measurement [PDF]
Remote photoplethysmography (rPPG) is a non-contact method that employs facial videos for measuring physiological parameters. Existing rPPG methods have achieved remarkable performance.
Cao, Mingyue +5 more
core +1 more source

