TY - GEN
T1 - Non-contact heart rate detection via periodic signal detection methods
AU - Tabak, Gizem
AU - Singer, Andrew C.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/2/26
Y1 - 2016/2/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84969785581&partnerID=8YFLogxK
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U2 - 10.1109/ACSSC.2015.7421242
DO - 10.1109/ACSSC.2015.7421242
M3 - Conference contribution
AN - SCOPUS:84969785581
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 790
EP - 794
BT - Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Y2 - 8 November 2015 through 11 November 2015
ER -