xilin-x/BUAA-MIHR

Large-scale-Multi-illumination-HR-Database (rPPG dataset)

1.Overview

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.

2.Apparatus and Experimental Environment

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 and settings

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

3.Contact

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

4.Download

• BUAA-MIHR database is released to universities and research institutes for research purposes only.

• Note that please contact xilin1991@buaa.edu.cn for requests using an official email address (that is, a 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.

• Once we have received your reply, we will provide you with the download link. First, please send us the signed Release Agreement document.

• Download the BUAA-MIHR database from Baidu Pan or OneDrive.

• By using the BUAA-MIHR database, you are recommended to cite the paper.

5.License

The dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. See LICENSE for details.

Citation

• 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},
}