BUAA-MIHR rPPG dataset

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

FG 2020

Lin Xi

Changchen Zhao

Weihai Chen

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:

$\{10^0, 10^{0.2}, 10^{0.4}, 10^{0.6}, 10^{0.8}, 10^{1.0}, 10^{1.2}, 10^{1.4}, 10^{1.6}, 10^{1.8}, 10^{2.0}\}\ \textbf{lux}$ ,

equivalent to

$\{1.0, 1.6, 2.5, 4.0, 6.3, 10.0, 15.8, 25.1, 39.8, 63.1, 100.0\}\ \textbf{lux}$ .

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[at]buaa[dot]edu[dot]cn), School of Automation Science and Electrical Engineering, Beihang University
Changchen Zhao (cczhao[at]zjut[dot]edu[dot]cn), College of Information Engineering, Zhejiang University of Technology
Lin Xi (xilin1991[at]buaa[dot]edu[dot]cn), School of Automation Science and Electrical Engineering, Beihang University

4.Download

BUAA-MIHR database is released to universities and research institutes for research purpose only.
Note that please contact xilin1991[at]buaa[dot]edu[dot]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. [Release Agreement]
Download BUAA-MIHR database in 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

                
                    @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}
                    }