Title: Pulse rate estimation using imaging photoplethysmography: generic framework and comparison of methods on a publicly available dataset,
Abstract: Objective: to establish an algorithmic framework and a benchmark dataset for
comparing methods of pulse rate estimation using imaging photoplethysmography
(iPPG). Approach: first we reveal essential steps of pulse rate estimation from
facial video and review methods applied at each of the steps. Then we
investigate performance of these methods for DEAP dataset
www.eecs.qmul.ac.uk/mmv/datasets/deap/ containing facial videos and reference
contact photoplethysmograms. Main results: best assessment precision is
achieved when pulse rate is estimated using continuous wavelet transform from
iPPG extracted by the POS method (overall mean absolute error below 2 heart
beats per minute). Significance: we provide a generic framework for theoretical
comparison of methods for pulse rate estimation from iPPG and report results
for the most popular methods on a publicly available dataset that can be used
as a benchmark.