TY  - CONF
VL  - 2016-J
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84980320746&doi=10.1109%2fI2MTC.2016.7520406&partnerID=40&md5=a8e1645fad6dbe2c35bcd835fc047ec7
A1  - Hassan, M.A.
A1  - Malik, A.S.
A1  - Saad, N.
A1  - Karasfi, B.
A1  - Ali, Y.S.
A1  - Fofi, D.
SN  - 10915281
PB  - Institute of Electrical and Electronics Engineers Inc.
Y1  - 2016///
KW  - Color image processing; Heart; Human computer interaction; Image segmentation; Photoplethysmography; Signal processing
KW  -  Color space selection; Color spectrum; Heart rate variability; Heart rates; Human computer interaction (HCI); Optimal selection; Source selection; The region of interest (ROI)
KW  -  Color
ID  - scholars6912
TI  - Optimal source selection for image photoplethysmography
N1  - cited By 13; Conference of 2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016 ; Conference Date: 23 May 2016 Through 26 May 2016; Conference Code:122785
N2  - This paper presents an optimal selection on the region of interest (ROI) and color spaces to extract photoplethysmography signals from facial videos. The study is carried out under two sections; ROI selection and color space selection. We compared five different ROI selection for different regions of the face. We also investigated three color spectrums namely additive, perceptual and orthogonal color spaces. The study experimented on the publicly available human-computer interaction (HCI) database. When evaluated on 30 subjects, the results showed that the ROI selection on the forehead and the green spectrum of the additive color space to provides higher accuracy for heart rate measurement. © 2016 IEEE.
AV  - none
ER  -