Public Benchmark Dataset for Testing rPPG Algorithm Performance
Datacite citation style
Hoffman, Wouter; Lakens, Daniel (2020): Public Benchmark Dataset for Testing rPPG Algorithm Performance. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:2ac74fbd-2276-44ad-aff1-2f68972b7b51
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Usage statistics
6567
views
4110
downloads
Licence
4TU General Terms of Use
See Licence.txt file in the data.
The current needs in remote photoplethysmography (rPPG) research were investigated and it was concluded there is a lack of reproducibility and comparability in the current rPPG research. Three main challenges for rPPG algorithms were defined and incorporated in the dataset; lighting & skin tone, motion robustness and high heart rates & pulse-rate change robustness. Videos accompanied by ECG measurements were recorded to create test material for these challenges.
History
- 2020-07-22 first online, published, posted
Publisher
4TU.Centre for Research DataFormat
media types: application/zip, text/plain, video/avchd, video/x-msvideoReferences
Funding
- TU/e
Organizations
TU Eindhoven, Department of Industrial Engineering & Innovation SciencesDATA
Files (1)
- 18,022,127,161 bytesMD5:
629ce2a498be99ef58a7bb6847625816
data.zip