Heart rate detection method based on ordinary camera
A detection method and camera technology, applied in the field of biomedical engineering, can solve problems such as non-contact heart rate detection and difficulty in extracting BVP signals, so as to improve user experience, improve practical significance, and increase computing speed Effect
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[0035] Such as figure 1 As shown, a heart rate detection method based on an ordinary camera of the present invention first performs face detection, then selects the forehead as the region of interest to reduce the interference of eyes, eyebrows, hair, etc. on signal extraction, and then extracts the pulse source signal, signal Denoise, and finally calculate the heart rate, which specifically includes the following steps:
[0036] Step 1) Face Detection
[0037] Use the AdaBoost algorithm to segment and detect the human face in the video image captured by the camera. The process is as follows figure 2 As shown, the image of each frame of the face area in the video is obtained. Since illumination changes will affect the effect of face detection, before face detection, it is necessary to perform illumination compensation on the image. Histogram equalization removes the effects of changing lighting conditions. Therefore, before performing face detection, the method of histogr...
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