A large-scale rPPG dataset with various illumination variations.
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Updated
May 20, 2024
A large-scale rPPG dataset with various illumination variations.
[TPAMI & ECCV 2022] Contrast-Phys & Contrast-Phys+ for facial video-based remote physiological signal measurement
Heart Rate Monitoring through Color Channel Analysis (in Rust)
iBVP Dataset: RGB-Thermal rPPG Dataset with High Resolution Signal Quality Labels
rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)
The source code and pre-trained models for Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing (WACV 2024, Oral).
Desktop implementation of Remote Photoplethysmography – Measuring heart rate using facial video.
MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral)
Spatiotemporal encoder-decoder networks with attention for remote photoplethysmography (rPPG)
Benchmark Framework for fair evaluation of rPPG
Simple, fast, and fair evaluation of remote physiological sensing models
Deep learning-based remote photoplethysmography (rPPG): how to extract pulse signal from video using deep learning tools Source code of the master thesis titled "Deep learning-enabled remote monitoring of pulse rate for versatile patients"
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
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