ubicomplab/rPPG-Toolbox
rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023) observed · 2026-08-28
Health v2 · maintenance only
51/100
- Activity 42
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1882
- days_rel: n/a
- days_push: 352
- n_releases_24m: 0
Adoption not part of the score
1178 stars · 304 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
rPPG-Toolbox is an open-source Python toolbox for camera-based physiological sensing (remote photoplethysmography), enabling heart rate and blood volume pulse estimation from face videos. It benchmarks state-of-the-art unsupervised and supervised neural rPPG methods and supports rapid development of new algorithms with dataset, augmentation, and evaluation support.
Use cases
- estimate heart rate from webcam video
- measure blood volume pulse from face recordings
- benchmark rPPG algorithms on public datasets
- develop and evaluate new neural rPPG models
- contactless vital sign monitoring research
- compare unsupervised vs deep learning rPPG methods
When to choose
- you need a comprehensive, research-grade rPPG codebase with many implemented methods
- you want to benchmark new rPPG models against state-of-the-art baselines
- you are doing academic research in camera-based physiological sensing
When to avoid
- you need a production-ready, clinically validated vital signs product
- you need a simple end-user app rather than a research toolbox
- you require a permissive license for commercial use (license is non-standard)
Facets
library · maturity active
machine-learning deep-learning computer-vision benchmarking computer-vision healthcare machine-learning deep-learning python cross-platform rppg remote-physiological-measurement vital-signs heart-rate-estimation camera-based-sensing health-sensing benchmark neurips-2023
6 sources
- readme: https://github.com/ubicomplab/rPPG-Toolbox · fetched 2026-08-28 · 2d48b869ea56
- homepage: https://arxiv.org/abs/2210.00716 · fetched 2026-08-29 · 9cbab1324f97
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ubicomplab/rPPG-Toolbox | main | 51 |
For agents
markdown · JSON · MCP: product_card(name="ubicomplab/rPPG-Toolbox")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem