Abstract
This paper shows how dynamic heart rate measurements that are typically obtained from sensors mounted near to the heart can also be obtained from video sequences. In this study, two experiments are carried out where a video camera captures the facial images of the seven subjects. The first experiment involves the measurement of subjects' increasing heart rates (79 to 150 beats per minute (BPM)) while cycling whereas the second involves falling heart beats (153 to 88 BPM). In this study, independent component analysis (ICA) is combined with mutual information to ensure accuracy is not compromised in the use of short video duration. While both experiments are going on measures of heartbeat using the Polar heart rate monitor is also taken to compare with the findings of the proposed method. Overall experimental results show the proposed method can be used to measure dynamic heart rates where the root mean square error (RMSE) and the correlation coefficient are 1.88 BPM and 0.99 respectively.
Highlights
Heart rates and heart rate variations are widely analysed especially in sports and medicines [1,2]
The colour components of the facial images captured by the video recorder, the RGB, vary in accordance to the heart rate variation, since the changes in blood volume alter the light intensity reflected from facial tissue
A new method of computing dynamic heart rate involving the use of short video clips has been proposed in this paper
Summary
Heart rates and heart rate variations are widely analysed especially in sports and medicines [1,2]. The colour components of the facial images captured by the video recorder, the RGB, vary in accordance to the heart rate variation, since the changes in blood volume alter the light intensity reflected from facial tissue. They developed a model for pigment concentration in human skin, and used it to estimate the heart rate They computed the heart rate readings from video recordings lasting from 45s to 90s. It is found that the value of mutual information of the ICA sources will be converging when the ICA sources are sufficiently independent Beyond this video duration, any further computation of mutual information does not change the accuracy of the heart rate readings.
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