Why the study?
Existing remote photoplethysmography algorithms cannot effectively handle ROI tracking issues such as poor face fitting, motion-induced pixel shift, and stillness fluctuations, which impairs heart rate measurement accuracy.
A novel region proposal and multi-scale ROI fusion framework improves the accuracy of remote, non-contact heart rate measurement by mitigating motion artifacts.
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May improve motion-robust remote HR detection; leaves open clinical validation before cardiovascular use.
Zhao et al. (2022) studied this question.
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