The invention relates to the technical field of
image processing and biological
signal detection, discloses a facial physiological detection method and
system based on
signal quality driven ROI selection, and aims to solve the problem of
signal degradation of a traditional fixed geometric ROI in a complex scene. The method comprises the following steps: collecting a user face video
stream through a camera and preprocessing the user face video
stream; detecting a face bounding box and dividing the face bounding box into a plurality of sub-regions; calculating the signal-to-
noise ratio, the periodic intensity and the motion artifact interference degree of each sub-region; screening an optimal sub-region according to a weighted fusion formula to generate a dynamic ROI
mask; extracting a pure rPPG signal from the dynamic ROI
mask coverage area; detrending and band-pass filtering are carried out on the rPPG signals, and physiological parameters such as the
heart rate and the blood
oxygen saturation degree are extracted. The
system comprises a face video acquisition module, a face region positioning and segmentation module, a
signal quality evaluation module, a dynamic ROI selection module, an rPPG
signal extraction module and a physiological parameter
estimation module. According to the technical scheme, signal degradation caused by local shielding, illumination abrupt change or attitude offset can be effectively avoided, the signal-to-
noise ratio and the stability of the rPPG signal are remarkably improved, and the universality and the robustness of the method are enhanced.