Non-contact heart rate monitoring method and system
A heart rate monitoring, non-contact technology, used in pulse rate/heart rate measurement, diagnostic recording/measurement, medical science, etc., and can solve problems such as inability to calculate heart rate
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Embodiment 1
[0067]Such asFigure 1-2As shown, the present invention provides a non-contact heart rate monitoring method, which is performed by a computer, which includes S1-S5:
[0068]S1, the facial features and face monitoring algorithms are monitored from the face video and determine two ROI regions;
[0069]S2, a surface video constructs a block and a spatial frequency representation block based on the face video corresponding to the two ROI regions;
[0070]S3, characterized by a 3D CNN to characterize the time and space representation block, resulting in a one-dimensional vector vector of the corresponding time and space representing the block, and the spatial frequency representation block is characterized by another 3D CNN, and the corresponding spatial frequency is obtained. A generic vector representation of the block;
[0071]S4, two of the one-dimensional forming vectors are fused by multi-channel feature fusion layer to obtain a deep features descriptor z;
[0072]S5, through two full connecting l...
Embodiment 2
[0123]The present invention also provides a non-contact heart rate monitoring system, including a face monitoring module, a ROI region screening module, a time-space representation block generation module, a spatial frequency representation block generation module, a multi-channel feature fusion heart rate monitoring network module;
[0124]The face monitoring module is used to monitor the face in the face video, and monitor the coordinates of facial features;
[0125]The ROI region screening module is configured to screen two regions as the ROI region from the coordinates of the face feature points;
[0126]The time and space representation block generation module includes a time domain signal extracting unit and a time space block build unit; the time domain signal extracting unit is used to adjust the resolution of the facial video corresponding to the ROI region to hRoi1 * WRoi1 HoRoi2 * WRoi2 , Get the time domain signal of the nth pixel in the RGB color gamut space:
[0127]RMn = {PR(n, 1...
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