Results 81 to 90 of about 1,258 (163)

Improved Remote Photoplethysmography Using Machine Learning-Based Filter Bank

Applied Sciences
Remote photoplethysmography (rPPG) is a non-contact technology that monitors heart activity by detecting subtle color changes within the facial blood vessels.
Jukyung Lee, Hyosung Joo, Jihwan Woo
doaj   +1 more source

A Comprehensive Review of Deepfake Detection Techniques Utilizing Remote Photoplethysmography

IEEE Access
Deepfake technology enables the creation of highly realistic but fabricated videos, raising significant concerns about the authenticity and reliability of digital media.
Kavya Sree Kammari, Manju Khanna, Yasasree Lasya Annambhotla, Keerthi Devarajan Anuradha, Poosarla Naga Suryapadma Namrata, K. V. Nagaraja, T. V. Smitha, Tony Jan, Ganesh R. Naik   +8 more
doaj   +1 more source

Dual-path TokenLearner for Remote Photoplethysmography-based Physiological Measurement with Facial Videos

, 2023
Remote photoplethysmography (rPPG) based physiological measurement is an emerging yet crucial vision task, whose challenge lies in exploring accurate rPPG prediction from facial videos accompanied by noises of illumination variations, facial occlusions ...
Guo, Dan, Li, Kun, Qian, Wei, Tian, Xilan, Wang, Meng   +4 more
core  

Remote photoplethysmography (rPPG) to measure heart rate and blood oxygenation levels using colour, infrared and depth data from real home environments

, 2023
Heart Rate (HR) and Blood Oxygenation Level (SPO₂) are physiological signs that are critically important measurements in the assessment of emergent ill-health. These typically require physical contact and blood tests that are often prohibitive for people with certain incapacities, severe illnesses, or burns.
openaire   +3 more sources

A Comparison of Convolutional Neural Network Transfer Learning Regression Models for Remote Photoplethysmography Signal Estimation

AI
This study explores the extraction of remote Photoplethysmography (rPPG) signals from images using various neural network architectures, addressing the challenge of accurate signal estimation in biomedical contexts.
Jana Sturekova, Patrik Kamencay, Peter Sykora, Roberta Hlavata   +3 more
doaj   +1 more source

Exploring Low Cost Non-Contact Detection of Biosignals for HCI

, 2023
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, Schraefel, M. C., Tremmel, Christoph   +2 more
core  

Local blood flow analysis and visualization from RGB-video sequences

Current Directions in Biomedical Engineering, 2019
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, Wisotzky Eric L., Hilsmann Anna, Eisert Peter, Hänsch Ronny   +4 more
doaj   +1 more source

Non-Contrastive Unsupervised Learning of Physiological Signals from Video

, 2023
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, Flynn, Patrick, Speth, Jeremy, Vance, Nathan   +3 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, Pratikno, Heri, Pratikno, Heri, Sari Oktarina, Eka, Setiawan Jaya, Toni   +4 more
core   +2 more sources

PhysBench: A Benchmark Framework for rPPG with a New Dataset and Baseline

, 2023
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, Ma, YuJian, Tian, Yi, Tong, Mingwen, Wang, Kegang, Wei, Yantao, Zhao, ZhongJin   +6 more
core