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@@ -32,7 +32,7 @@ This project makes extensive use of the following libraries and resources:
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  ## How It Works
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- The model processes the input video to detect the subject's face and, specifically, the forehead region, where skin color changes are more pronounced and less affected by motion artifacts. It then applies signal processing techniques to extract the rPPG signal from the color variations over time. This signal is further processed to compute HRV metrics, which include but are not limited to SDNN, RMSSD, and frequency domain metrics.
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  ## Contributing
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  ## How It Works
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+ The model processes the input video to detect the subject's face and, specifically, the cheek region, where skin color changes are more pronounced and less affected by motion artifacts. It then applies signal processing techniques to extract the rPPG signal from the color variations over time. This signal is further processed to compute HRV metrics, which include but are not limited to SDNN, RMSSD, and frequency domain metrics.
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  ## Contributing
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