Research & Validation

Validation Reports

Comprehensive Model Validation

We are actively developing and evaluating our rPPG models across the health metrics we measure. Our ongoing research involves benchmarking against reference devices under a range of real-world conditions.

Select a metric to learn more about our research approach and current findings.

✓Ongoing testing across diverse demographics and lighting conditions
✓Benchmarked against established reference devices
✓Evaluated across multiple camera types and sensor configurations
✓Continuous model development informed by real-world data
✓Active research into performance across skin tones and age groups
Learn How rPPG Works →

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Published rPPG Research

Explore the foundational research behind remote photoplethysmography technology

arXiv

TYrPPG: Uncomplicated and Enhanced Learning Capability rPPG for Remote Heart Rate Estimation

Taixi Chen, Yiu-ming Cheung • November 2025

A novel approach to simplify rPPG models while enhancing learning capability for accurate remote heart rate estimation.

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arXiv

Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation

Konstantin Egorov, Stepan Botman, Pavel Blinov, et al. • August 2025

Introduces a comprehensive multi-view video dataset for advancing rPPG research and health biomarker estimation.

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arXiv

Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge

Yuting Zhang, Hao Lu, Xin Liu, et al. • March 2024

Proposes methods to improve generalization in remote physiological measurement by combining explicit and implicit prior knowledge.

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arXiv

Reperio-rPPG: Relational Temporal Graph Neural Networks for Periodicity Learning in Remote Physiological Measurement

Ba-Thinh Nguyen, Thach-Ha Ngoc Pham, Hoang-Long Duc Nguyen, et al. • November 2025

Leverages graph neural networks to capture temporal relationships for improved periodicity learning in rPPG signals.

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IEEE

Deep Learning-based Remote Photoplethysmography Methods: A Review

Various Authors • 2023

Comprehensive review of deep learning approaches for camera-based physiological measurement and vital sign estimation.

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ResearchGate

Evaluation of Biases in Remote Photoplethysmography Methods

Various Authors • 2021

Critical analysis of biases present in rPPG methods across different demographics and lighting conditions.

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