Title :
Non-contact heart rate detection via periodic signal detection methods
Author :
Gizem Tabak;Andrew C. Singer
Author_Institution :
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Abstract :
Real time non-contact heart rate detection is performed by using different methods for periodic signal detection in noise. Heart rate is estimated from a scalar signal formed from the average color values of the observed skin from videos recorded previously at first, and then captured in real time with a built-in laptop webcam. Cramer-Rao lower bounds are calculated as a function of SNR for an assumed parametric model, and heart rate is detected via autocorrelation, maximum likelihood and Fourier-based methods. The performance is evaluated by comparing the error rates for different detection techniques in each case.
Keywords :
"Videos","Heart rate","Maximum likelihood estimation","Signal to noise ratio","Correlation","Frequency estimation","Color"
Conference_Titel :
Signals, Systems and Computers, 2015 49th Asilomar Conference on
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2015.7421242
