Comparison and evaluation of IPPG methods for HR estimation under different face regions

ABSTRACT

Non-contact heart rate measurement reaches a higher level in scientific research;this field presents important advantages in our life, such as human-machine interaction, medical applications, especially in the current situation of the world suffering from COVID-19 pandemic. In recent years, several techniques of extracting the imaging photoplethysmography (ippg) signals from facial videos have been proposed and developed. Based on this, we performed a study and evaluation of the four most well known heart rate estimation methods such as Green, ICA, POS and CHROM in two accessible public datasets MAHNOB-HCI and UBFC-Phys under two different facial regions to enable researchers to develop and use them in real applications. The results show that the video imaging condition and the correct face region detection step play an important role in the accuracy of heart rate estimation. © 2022 IEEE.