Non-contact respiration detection method and device
A non-contact, breathing detection technology, applied in image data processing, instruments, calculations, etc., to achieve the effect of simple method and extensive data sources
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Embodiment 1
[0042] Refer to attached figure 1 or attached figure 2 , the invention discloses a non-contact respiration detection method for obtaining respiration waveforms according to respiration images of the chest and abdomen regions of a human body, which mainly includes the following steps:
[0043] Step S1, acquiring a breathing image of the chest and abdomen area of the human body.
[0044] Step S2, converting the breathing image into a grayscale image, and extracting the moving speed of each pixel in each frame of the grayscale image in the X-axis direction and the moving speed in the Y-axis direction by using the optical flow method.
[0045] Step S3, obtaining the sum of the moving speeds of all pixels in each frame of the grayscale image in the X-axis direction and the sum of the moving speeds in the Y-axis direction to obtain a respiratory waveform diagram.
[0046] In step S1, an acquisition method for acquiring images of the chest and abdomen regions of the human body i...
Embodiment 2
[0096] Refer to attached image 3 , the present invention also discloses a non-contact breathing detection device, which is used in the same application scenario as that of Embodiment 1, including: an image acquisition module 101 , an image processing module 102 and a data processing module 103 .
[0097] The image acquisition module 101 is configured to acquire breathing images of the chest and abdomen regions of the human body.
[0098] The image processing module 102 is configured to convert the breathing image into a grayscale image, and use the optical flow method to extract the movement speed and the Y-axis direction of each pixel in each frame of the grayscale image in the X-axis direction speed of movement.
[0099] The data processing module 103 is configured to acquire the sum of the moving speeds of all pixels in each frame of the grayscale image in the X-axis direction and the sum of the moving speeds in the Y-axis direction to obtain a respiratory waveform diagra...
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