DocumentCode :
3662696
Title :
Improving video-based resting heart rate estimation: A comparison of two methods
Author :
Jeehyun Choe; Dahjung Chung;A. J. Schwichtenberg;Edward J. Delp
Author_Institution :
Video and Image Processing Lab (VIPER), School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
Recent advancements in video processing make video-based heart rate (HR) estimation possible. Building on this burgeoning field, we adapted an existing video-based HR estimation method to produce more robust and accurate results. Specifically, we removed periodic signals from the recording environment by identifying (and removing) frequency clusters that are present the face region and background. This adaptive passband filter generates more accurate HR estimates and allows other applied filters to work more effectively.
Keywords :
"Heart rate","Face","Skin","Estimation","Frequency estimation","Passband","Cutoff frequency"
Publisher :
ieee
Conference_Titel :
Circuits and Systems (MWSCAS), 2015 IEEE 58th International Midwest Symposium on
Type :
conf
DOI :
10.1109/MWSCAS.2015.7282155
Filename :
7282155
Link To Document :
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