DLCN is a 13-hour, 98-participant face-video dataset recorded under four dynamic nighttime lighting scenarios, and benchmarks show rPPG heart-rate estimators degrade sharply as lighting becomes more dynamic.
Near-infrared imaging photoplethysmography during driving,
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Exploring Remote Physiological Signal Measurement under Dynamic Lighting Conditions at Night: Dataset, Experiment, and Analysis
DLCN is a 13-hour, 98-participant face-video dataset recorded under four dynamic nighttime lighting scenarios, and benchmarks show rPPG heart-rate estimators degrade sharply as lighting becomes more dynamic.