Why the study?
Remote photoplethysmography accuracy is limited by slow content changes in long-range facial videos and interference from illumination variation and head movement noise.
The proposed ETA-rPPGNet improves the accuracy of remote heart rate measurement from facial videos by addressing illumination variation and head movement noise.
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May aid contactless HR monitoring in lab settings; leaves open clinical validation and outcome trials.
Hu et al. (2021) studied this question.
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