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Dataset

Rice iPPG dataset (HRVCam)

14-subject facial video + finger PPG for camera HRV under engagement tasks

PPGVideo
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The Rice Computational Imaging Group Imaging Photoplethysmography dataset supports camera-based heart rate and heart-rate-variability research. It holds facial videos of 14 subjects (8 male, 6 female), each recorded for 2 minutes in five conditions: stationary baseline, reading a webpage, watching a video, talking, and paced deep breathing. Video is from a Point Grey Blackfly camera at 1920×1200 under battery-powered white LED flood lights, with synchronized CMS50D+ pulse-oximeter PPG as ground truth. It accompanies the HRVCam paper (J Biomed Opt 2021, CC BY 4.0).

At a glance
Type
Dataset
Host
Not reported
DOI
10.1117/1.JBO.26.2.022707 (opens in a new tab)
Licence
Not reported
Access
Not reported
Subjects
14
Signals
PPGVideo
PPG sites
Not reported
Setting
Not reported
Wrist
Not reported
Raw waveforms
Not reported
Tasks
Not reported
Updated
Nov 10, 2026

Original description

Significance: Non-contact, camera-based heart rate variability estimation is desirable in numerous applications, including medical, automotive, and entertainment. Unfortunately, camera-based HRV accuracy and reliability suffer due to two challenges: (a) darker skin tones result in lower SNR and (b) relative motion induces measurement artifacts. Aim: We propose an algorithm HRVCam that provides sufficient robustness to low SNR and motion-induced artifacts commonly present in imaging photoplethysmography (iPPG) signals. Approach: HRVCam computes camera-based HRV from the instantaneous frequency of the iPPG signal. HRVCam uses automatic adaptive bandwidth filtering along with discrete energy separation to estimate the instantaneous frequency. The parameters of HRVCam use the observed characteristics of HRV and iPPG signals. Results: We capture a new dataset containing 16 participants with diverse skin tones. We demonstrate that HRVCam reduces the error in camera-based HRV metrics significantly (more than 50% reduction) for videos with dark skin and face motion. Conclusion: HRVCam can be used on top of iPPG estimation algorithms to provide robust HRV measurements making camera-based HRV practical.

Verbatim fromthe publisher's DOI record· Publisher licence: https://creativecommons.org/licenses/by/4.0/

Rice iPPG dataset (HRVCam): ChatPPG research summary card

Key numbers

14
Subjects
3
Reference labels
PPG, HR, HRV

How it works

Inputs
Rice iPPG dataset (HRVCam)
Your model
Outputs / tasks

No model in the hub reports results on this dataset yet.

Reference labels
ppg, hr, hrv

Cite this dataset

Cite this dataset with the fields recorded here. Check it against the publisher before submitting.

Rice iPPG dataset (HRVCam) [Data set]. (n.d.). https://doi.org/10.1117/1.JBO.26.2.022707
@misc{riceippghrvcamrice,
  title         = {{Rice iPPG dataset (HRVCam)}},
  doi           = {10.1117/1.JBO.26.2.022707}
}

Cite the ChatPPG record

Cite the dated snapshot 2026-10 for a fixed, reproducible version. Please also cite the original publications listed above.

APA

ChatPPG. (2026). Rice iPPG dataset (HRVCam): dataset record (Version 2026-10) [Data set]. ChatPPG Research Hub. https://chatppg.com/research/datasets/rice-ippg-hrvcam

BibTeX
@misc{chatppg_dataset_rice_ippg_hrvcam,
  author       = {{ChatPPG}},
  title        = {{Rice iPPG dataset (HRVCam): dataset record}},
  year         = {2026},
  month        = nov,
  version      = {2026-10},
  howpublished = {\url{https://chatppg.com/research/datasets/rice-ippg-hrvcam}},
  note         = {ChatPPG Research Hub, Snapshot 2026-10, https://chatppg.com/research/snapshots/2026-10}
}
CITATION.cff
cff-version: 1.2.0
message: "If you use this resource, please cite it as below."
type: dataset
title: "Rice iPPG dataset (HRVCam): dataset record"
authors:
  - name: "ChatPPG"
url: "https://chatppg.com/research/datasets/rice-ippg-hrvcam"
repository-artifact: "https://chatppg.com/research/snapshots/2026-10"
version: "2026-10"
date-released: "2026-11-10"

History

  1. Record updated

Same tasks, signals and research