PROJECT TITLE :

Motion-Resistant Remote Imaging Photoplethysmography Based on the Optical Properties of Skin

ABSTRACT:

Remote imaging photoplethysmography (RIPPG) will achieve contactless monitoring of human very important signs. But, the robustness to an issue’s motion is a difficult downside for RIPPG, particularly in facial video-based mostly RIPPG. The RIPPG signal originates from the radiant intensity variation of human skin with pulses of blood and motions can modulate the radiant intensity of the skin. Based mostly on the optical properties of human skin, we tend to build an optical RIPPG signal model in which the origins of the RIPPG signal and motion artifacts will be clearly described. The region of interest (ROI) of the skin is considered a Lambertian radiator and the effect of ROI tracking is analyzed from the perspective of radiometry. By considering a digital color camera as a easy spectrometer, we propose an adaptive color difference operation between the inexperienced and red channels to cut back motion artifacts. Based on the spectral characteristics of photoplethysmography signals, we propose an adaptive bandpass filter to get rid of residual motion artifacts of RIPPG. We have a tendency to also combine ROI selection on the subject’s cheeks with speeded-up strong features points tracking to boost the RIPPG signal quality. Experimental results show that the proposed RIPPG can get greatly improved performance in accessing heart rates in moving subjects, compared with the state-of-the-art facial video-based RIPPG methods.