Face video from an event camera, converted to 2D event frames, lets a supervised neural network estimate heart rate with about 2 bpm error, matching or beating a standard RGB camera in a 64-subject study.
Non-invasive vital parameter detection using neuromorphic cameras exploring the use of neuromor- phic cameras for biomedical applications
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Contactless Cardiac Pulse Monitoring Using Event Cameras
Face video from an event camera, converted to 2D event frames, lets a supervised neural network estimate heart rate with about 2 bpm error, matching or beating a standard RGB camera in a 64-subject study.