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
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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 Data
format
media types: application/zip, text/plain, video/avchd, video/x-msvideo
references
funding
- TU/e
organizations
TU Eindhoven, Department of Industrial Engineering & Innovation Sciences
DATA
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