all AI news
Video-based Remote Physiological Measurement via Self-supervised Learning. (arXiv:2210.15401v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
Video-based remote physiological measurement aims to estimate remote
photoplethysmography (rPPG) signals from human face videos and then measure
multiple vital signs (e.g. heart rate, respiration frequency) from rPPG
signals. Recent approaches achieve it by training deep neural networks, which
normally require abundant face videos and synchronously recorded
photoplethysmography (PPG) signals for supervision. However, the collection of
these annotated corpora is uneasy in practice. In this paper, we introduce a
novel frequency-inspired self-supervised framework that learns to estimate rPPG
signals from …
arxiv measurement remote self-supervised learning supervised learning video