ArticleBehavior research methods2024
Remote photoplethysmography (rPPG) in the wild: Remote heart rate imaging via online webcams.
Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 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
- Perception and accuracy of an AI-based contactless wellness screening system in dental setting; a cross-sectional study.The Saudi dental journal · 2026Article
- Validation of web-based remote photoplethysmography for heart rate measurement using standardized online infrastructure against ECG benchmarks.Behavior research methods · 2026Article
- Motion-Based Confidence Score to Support the Practical Application of rPPG Methods in Health Monitoring.Journal of medical systems · 2026Article
- Roadmap of remote photoplethysmography from heart rate measurement toward clinical translation.NPJ digital medicine · 2026Article
- Advancing remote photoplethysmography (rPPG) to facilitate cardiac monitoring in naturalistic settings using webcam technology.Behavior research methods · 2026Article
- Validity and Reliability of the Heart Rate Matching Task: A Novel Measure of Heart Rate Estimation.Psychophysiology · 2026Article
- Demographic bias in public remote photoplethysmography datasets.NPJ digital medicine · 2025Article
- Remote photoplethysmography for health assessment: a review informed by IntelliProve technology.Frontiers in digital health · 2025Review
- Application of Real-Time Palm Imaging with Nelder-Mead Particle Swarm Optimization/Regression Algorithms for Non-Contact Blood Pressure Detection.Biomimetics (Basel, Switzerland) · 2024Article
- No differences between remote and laboratory-based testing of cardiac interoceptive accuracy using the phase adjustment task.Scientific reports · 2024Article
- Maternal interoceptive focus is associated with greater reported engagement in mother-infant stroking and rocking.PloS one · 2024Article
- 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
- State-dependent facial pulsation asymmetry and phase asynchrony measured by imaging photoplethysmography and their coupling with contingent negative variation in migraine.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Remote photoplethysmography (rPPG) is a low-cost technique to measure physiological parameters such as heart rate by analyzing videos of a person. There has been growing attention to this technique due to the increased possibilities and demand for running psychological experiments on online platforms. Technological advancements in commercially available cameras and video processing algorithms have led to significant progress in this field. However, despite these advancements, past research indicates that suboptimal video recording conditions can severely compromise the accuracy of rPPG. In this study, we aimed to develop an open-source rPPG methodology and test its performance on videos collected via an online platform, without control of the hardware of the participants and the contextual variables, such as illumination, distance, and motion. Across two experiments, we compared the results of the rPPG extraction methodology to a validated dataset used for rPPG testing. Furthermore, we then collected 231 online video recordings and compared the results of the rPPG extraction to finger pulse oximeter data acquired with a validated mobile heart rate application. Results indicated that the rPPG algorithm was highly accurate, showing a significant degree of convergence with both datasets thus providing an improved tool for recording and analyzing heart rate in online experiments.
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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.