McJackTang/MMPD_rPPG_dataset

MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral)

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Emerging

This dataset provides 11 hours of mobile phone video recordings from 33 subjects, designed to help researchers develop and test algorithms that measure physiological signals like heart rate from video. It offers a diverse range of skin tones, body motions, and lighting conditions, along with labels for each video. Researchers and scientists in biomedical engineering, computer vision, and health tech can use this data to build more robust and accurate remote photoplethysmography (rPPG) models.

166 stars. No commits in the last 6 months.

Use this if you are a researcher developing algorithms to measure physiological signals like heart rate from mobile phone videos and need diverse, labeled data for training and testing.

Not ideal if you are looking for a commercial dataset or a tool for real-time physiological monitoring, as this is for academic research only.

biomedical-signal-processing remote-health-monitoring computer-vision physiological-measurement medical-image-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

166

Forks

19

Language

Python

License

MIT

Last pushed

Sep 30, 2024

Commits (30d)

0

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