NON-CONTACT HEART RATE MEASUREMENT WITH ADAPTIVE SKIN PIXEL SELECTION
In order to achieve non-contact heart rate measurement in multiple environments based on IPPG technology,aiming at the difference in hue and saturation caused by light irradiating the skin will have an impact when capturing images in a video,this paper proposes a skin pixel selection algorithm sA-HSV(Self-Adaptive HSV)with adaptive HSV threshold setting.The ordinary camera was used to collect the entire facial area as the initial feature area and set the threshold to filter the skin pixels as the characteristic area through the sA-HSV algorithm.The mean value of the green channel of the pixels was used as the original signal and added the filtering algorithm to get the final signal.The heart rate was estimated through the Fourier transform.The experimental results were compared with the standard measurement results.The average absolute error is less than 2.29 bpm and the root mean square error is less than 3.67 bpm in the self-collected datasets.The average absolute error is 2.57 bpm and the root mean square error is 3.25 bpm in the public datasets VIPL-HR.This algorithm is more suitable for non-contact heart rate measurement in illuminated environments.
万方数据
维普
