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Heart rate estimation in intense exercise videos. (arXiv:2208.02509v1 [cs.CV])
Aug. 5, 2022, 1:12 a.m. | Yeshwanth Napolean, Anwesh Marwade, Nergis Tomen, Puck Alkemade, Thijs Eijsvogels, Jan van Gemert
cs.CV updates on arXiv.org arxiv.org
Estimating heart rate from video allows non-contact health monitoring with
applications in patient care, human interaction, and sports. Existing work can
robustly measure heart rate under some degree of motion by face tracking.
However, this is not always possible in unconstrained settings, as the face
might be occluded or even outside the camera. Here, we present IntensePhysio: a
challenging video heart rate estimation dataset with realistic face occlusions,
severe subject motion, and ample heart rate variation. To ensure heart rate …
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