Heart rate is an important indicator of people's physiological state. Recent research shows that physiological signals like the heart rate can be measured just by a normal camera. The human visual system has limited spatio-temporal sensitivity, but many signals that fall below this capacity can be informative. For example, human skin color varies slightly with blood circulation. This variation, while invisible to the naked eye, can be exploited to extract pulse rate of a person. The methodology developed in CMVS outperforms other solutions that have performance degradation when environmental illumination variations and subjects’ motions are involved. A goal of the current research is to adapt the methodology to different applications, including health monitoring, face anti-spoofing, and affective computing.
Li X, Chen J, Zhao G, & Pietikainen, M (2014) Remote heart rate measurement from face videos under realistic situations. Proc. IEEE Conference on Computer Vision and Pattern Recognition,. 4264-4271.
Qiu Q, Chang Z, Draelos M, Chen J, Bronstein A & Sapiro G (2015) Low-cost gaze and pulse analysis using Realsense. Proc. 5th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), 276-279.
Li X, Komulainen J, Zhao G, Yuen PC & Pietikäinen M (2016) Generalized face anti-spoofing by detecting pulse from face videos. Proc. International Conference on Pattern Recognition (ICPR 2016), accepted.
Last updated: 22.8.2016