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Improvement of the Heart Rate Estimation from the Human Facial Video Images

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Abstract (2. Language): 
Human facial video captured with a webcam can be processed to extract the heart rate. This paper shows that the color space of processed video images, the distance of the person from a webcam and processed segment of the face are important parameters in the accuracy of the estimated heart rate. Our results show that the heart rate ought to be extracted from the facial videos in the HSV color space, also our results show that the accuracy of the estimated heart rate are decreased, by increasing the distance of the person from the webcam. Therefore, our proposed scheme using the video images captured by two webcams, improves the accuracy of the estimated heart rate. Subsequently, we segmented facial region to several blocks and found regions with higher accuracy in heart rate estimation. We have carried out experiments on a data set of 12 subjects. The results of experiment have been compared with the heart rates recorded by a fingertip pulse Oximeter in a statistical analysis framework.



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Experimental setup
Webcam model
Color space
Distance from webcam
International Journal of Science and Engineering Investigations, Volume 5, Issue 48, January 2016 23 Paper ID: 54816-04
ISSN: 2251-8843
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