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

Journal Name:

  • International Journal of Science and Engineering Investigations

Publication Year:

  • 2016

Key Words:

Author NameUniversity of Author
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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REFERENCES

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Statistics
Experimental setup
mean
SD
RMSE
Webcam model
Color space
Distance from webcam
-3.2823
7.5547
8.6827
Hp
HSV
0.5m
-5.4994
23.6527
24.5251
Hp
RGB
6.0473
13.4615
14.3733
Hp
HSV
3m
0.5971
13.9336
13.9366
Dell
-1.1579
8.7868
9.0457
Hp,Del
International Journal of Science and Engineering Investigations, Volume 5, Issue 48, January 2016 23
www.IJSEI.com Paper ID: 54816-04
ISSN: 2251-8843
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