TY - JOUR
AU - 
AB - DistancePPG: Robust non-contact vital signs monitoring using a camera Mayank Kumar, Ashok Veeraraghavan, and Ashutosh Sabharwal Electrical and Computer Engineering, RICE University, Houston, TX, USA mk28@rice.edu Abstract: Vital signs such as pulse rate and breathing rate are currently measured using contact probes. But, non-contact methods for measuring vital signs are desirable both in hospital settings (e.g. in NICU) and for ubiquitous in-situ health tracking (e.g. on mobile phone and computers with webcams). Recently, camera-based non-contact vital sign monitoring have been shown to be feasible. However, camera-based vital sign monitoring is challenging for people with darker skin tone, under low lighting conditions, and/or during movement of an individual in front of the camera. In this paper, we propose distancePPG, a new camera-based vital sign estimation algorithm which addresses these challenges. DistancePPG proposes a new method of combining skin-color change signals from different tracked regions of the face using a weighted average, where the weights depend on the blood perfusion and incident light intensity in the region, to improve the signal-to-noise ratio (SNR) of camera-based estimate. One of our key contributions is a new automatic method for determining the weights based only on the video recording of the subject. The gains 
TI - DistancePPG: Robust non-contact vital signs monitoring using a camera
JF - Biomedical Optics Express
DO - 10.1364/boe.6.001565
DA - 2015-04-06
UR - https://www.deepdyve.com/lp/unpaywall/distanceppg-robust-non-contact-vital-signs-monitoring-using-a-camera-7hLuO7YndE
DP - DeepDyve
ER -