BUAA-MIHR dataset is a remote photoplethysmography (rPPG) dataset. BUAA-MIHR dataset for evaluation of remote photoplethysmography pipeline under multi-illumination situations. We recruited 15 healthy subjects (12 male, 3 female, 18 to 30 years old) in this experiment and a total number of 165 video sequences were recorded under various illuminations. The experiments were conducted in a darkroom in order to isolate from ambient light.
Logitech HD pro webcam C930E color camera was used to record videos of 640 × 480 pixels, 8 bit depth, 30 fps, 60s, uncompressed bitmap format. PPG signal was measured using CONTEC CMS50E.
The video is captured in a darkroom, which is covered witha blackout cloth. A split type illuminometer is used as the instrument for measuring light intensity and brightness in the darkroom. We varied illuminance in the range:
,
equivalent to
.
| Device | Model | Settings |
|---|---|---|
| Computer | Lenovo Y430p | Ubuntu 16.04 LTS |
| RGB camera | Logitech C930e | HD 640×480, FPS 30 |
| LED ligths | Panasonic HHLT0623 | Temperature: 4000K, Rated Voltage: 220V, Frequency: 50Hz |
| Illuminometer | BENETECH GM1030 | Real-time interface |
| Biosignal Acquisition | CONTEC CMS50E | N/A |
Weihai Chen (whchen@buaa.edu.cn), School of Automation Science and Electrical Engineering, Beihang University
Changchen Zhao (cczhao@zjut.edu.cn), College of Information Engineering, Zhejiang University of Technology
Lin Xi (xilin1991@buaa.edu.cn), School of Automation Science and Electrical Engineering, Beihang University
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BUAA-MIHR database is released to universities and research institutes for research purpose only.
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Note that please contact xilin1991@buaa.edu.cn for requests using an official email address (that is, university or institute email address, and non-official email addresses such as Gmail and 163 are not acceptable). When we receive your reply, we would provide the download link to you.
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By using the BUAA-MIHR database, you are recommended to cite the paper.
The dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. See LICENSE for details.
- Xi, L., Chen, W., Zhao, C., Wu, X., & Wang, J. (2020, November). Image enhancement for remote photoplethysmography in a low-light environment. In 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) (pp. 1-7). IEEE. [paper]
@INPROCEEDINGS{9320298,
author={Xi, Lin and Chen, Weihai and Zhao, Changchen and Wu, Xingming and Wang, Jianhua},
booktitle={2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)},
title={Image Enhancement for Remote Photoplethysmography in a Low-Light Environment},
year={2020},
pages={1-7},
}