%0 Generic
%A Hoffman, Wouter
%A Lakens, Daniel
%D 2020
%T Public Benchmark Dataset for Testing rPPG Algorithm Performance
%U https://data.4tu.nl/articles/dataset/Public_Benchmark_Dataset_for_Testing_rPPG_Algorithm_Performance/12684059/1
%R 10.4121/uuid:2ac74fbd-2276-44ad-aff1-2f68972b7b51
%K PPGi
%K Public benchmarking
%K Remote photoplethysmography (rPPG)
%K Reproducibility
%X 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.
%I 4TU.Centre for Research Data