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-aff1-2f68972b7b51Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
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.
- 2020-07-22 first online, published, posted
publisher4TU.Centre for Research Data
formatmedia types: application/zip, text/plain, video/avchd, video/x-msvideo
organizationsTU Eindhoven, Department of Industrial Engineering & Innovation Sciences