| CPC A61B 5/222 (2013.01) [A61B 5/7203 (2013.01); G06F 18/253 (2023.01)] | 17 Claims |
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1. A fatigue measurement method, comprising:
obtaining a face video of a target object;
processing the facial video to obtain a plurality of quasi-heart rates and a plurality of quasi-vibration frequencies, wherein the quasi-heart is obtained through one or more of a region of interest (ROI) between eyebrows and an ROI of chin, and the quasi-vibration frequency is obtained through one or more of an ROI of eyes and an ROI of mouth;
selecting a target heart rate from the plurality of quasi-heart rates and a target vibration frequency from the plurality of quasi-vibration frequencies; and
detecting the target heart rate and the target vibration frequency, and determining, according to the detection result, that the target object is in a fatigue state,
wherein processing the face video to obtain the plurality of quasi-heart rates and the plurality of quasi-vibration frequencies, comprising:
dividing the face video into a plurality of window videos according to a time window of a specific step size; and
performing, for each window video of the plurality of window videos, extraction processing on the each window video to obtain an eye feature signal, a mouth feature signal, an eyebrow feature signal, and a chin feature signal, fusing the eye feature signal, the mouth feature signal, the eyebrow feature signal, and the chin feature signal to obtain a fused feature signal, and converting the fused feature signal to obtain a quasi-heart rate and a quasi-vibration frequency.
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