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Public Benchmark Dataset for Testing rPPG Algorithm Performance

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posted on 22.07.2020 by Wouter Hoffman, Daniel Lakens
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.

Funding

TU/e

History

Contributors

TU Eindhoven, Department of Industrial Engineering & Innovation Sciences

Publisher

4TU.Centre for Research Data

Licence remarks

See Licence.txt file in the data.

Format

media types: application/zip, text/plain, video/avchd, video/x-msvideo

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