ArticleBehavior research methods2019
An open-source remote heart rate imaging method with practical apparatus and algorithms.
Article in Behavior research methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- When is rPPG physiologically valid for stress and workload monitoring? A PRISMA-ScR scoping review.Frontiers in digital health · 2026Pooled it
- Validation of web-based remote photoplethysmography for heart rate measurement using standardized online infrastructure against ECG benchmarks.Behavior research methods · 2026Article
- Validity and Reliability of the Heart Rate Matching Task: A Novel Measure of Heart Rate Estimation.Psychophysiology · 2026Article
- The reliability of remote photoplethysmography under low illumination and elevated heart rates.NPJ digital medicine · 2025Article
- Non-contact imaging of the neck for monitoring cardiopulmonary clinic patients.Biomedical optics express · 2025Article
- Remote photoplethysmography (rPPG) in the wild: Remote heart rate imaging via online webcams.Behavior research methods · 2024Article
- Maternal interoceptive focus is associated with greater reported engagement in mother-infant stroking and rocking.PloS one · 2024Article
- Deep learning and remote photoplethysmography powered advancements in contactless physiological measurement.Frontiers in bioengineering and biotechnology · 2024Review
- Seeing Through Each Other's Hearts: Inferring Others' Heart Rate as a Function of Own Heart Rate Perception and Perceived Social Intelligence.Affective science · 2022Article
- Multitask Siamese Network for Remote Photoplethysmography and Respiration Estimation.Sensors (Basel, Switzerland) · 2022Article
- Heart rate prediction from facial video with masks using eye location and corrected by convolutional neural networks.Biomedical signal processing and control · 2022Article
- Multi-ROI Spectral Approach for the Continuous Remote Cardio-Respiratory Monitoring from Mobile Device Built-In Cameras.Sensors (Basel, Switzerland) · 2022Article
- Contactless facial video recording with deep learning models for the detection of atrial fibrillation.Scientific reports · 2022Article
- Contactless Vital Signs Monitoring From Videos Recorded With Digital Cameras: An Overview.Frontiers in physiology · 2022Review
- Objective and bias-free measures of candidate motivation during job applications.Scientific reports · 2021Article
- Deep Learning Methods for Remote Heart Rate Measurement: A Review and Future Research Agenda.Sensors (Basel, Switzerland) · 2021Review
- Challenges and Opportunities in Consumer Neuroergonomics.Frontiers in neuroergonomics · 2021Article
- Non-Contact Heart Rate Detection When Face Information Is Missing during Online Learning.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent developments in computer science and digital image processing have enabled the extraction of an individual's heart pulsations from pixel changes in recorded video images of human skin surfaces. This method is termed remote photoplethysmography (rPPG) and can be achieved with consumer-level cameras (e.g., a webcam or mobile camera). The goal of the present publication is two-fold. First, we aim to organize future rPPG software developments in a tractable and nontechnical manner, such that the public gains access to a basic open-source rPPG code, comes to understand its utility, and can follow its most recent progressions. The second goal is to investigate rPPG's accuracy in detecting heart rates from the skin surfaces of several body parts after physical exercise and under ambient lighting conditions with a consumer-level camera. We report that rPPG is highly accurate when the camera is aimed at facial skin tissue, but that the heart rate recordings from wrist regions are less reliable, and recordings from the calves are unreliable. Facial rPPG remained accurate despite the high heart rates after exercise. The proposed research procedures and the experimental findings provide guidelines for future studies on rPPG.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.