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Public Benchmark Dataset for Testing rPPG Algorithm Performance
datasetposted on 22.07.2020 by Wouter Hoffman, Daniel Lakens
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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.