TY - GEN
T1 - Contact surface area
T2 - 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018
AU - Fridovich-Keil, Sara
AU - Ramadge, Peter Jeffrey
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - We consider the problem of smartphone video-based heart rate estimation, which typically relies on measuring the green color intensity of the user's skin. We describe a novel signal in fingertip videos used for smartphone-based heart rate estimation: fingertip contact surface area. We propose a model relating contact surface area to pressure, and validate it on a dataset of 786 videos from 62 participants by demonstrating a statistical correlation between contact surface area and green color intensity. We estimate heart rate on our dataset with two algorithms, a baseline using the green signal only and a novel algorithm based on both color and area. We demonstrate lower rates of substantial errors (> 10 beats per minute) using the novel algorithm (4.1%), compared both to the baseline algorithm (6.4%) and to published results using commercial color-based applications (≥ 6%).
AB - We consider the problem of smartphone video-based heart rate estimation, which typically relies on measuring the green color intensity of the user's skin. We describe a novel signal in fingertip videos used for smartphone-based heart rate estimation: fingertip contact surface area. We propose a model relating contact surface area to pressure, and validate it on a dataset of 786 videos from 62 participants by demonstrating a statistical correlation between contact surface area and green color intensity. We estimate heart rate on our dataset with two algorithms, a baseline using the green signal only and a novel algorithm based on both color and area. We demonstrate lower rates of substantial errors (> 10 beats per minute) using the novel algorithm (4.1%), compared both to the baseline algorithm (6.4%) and to published results using commercial color-based applications (≥ 6%).
KW - Group LASSO
KW - Heart rate monitoring
KW - Photoplethysmography (PPG)
UR - http://www.scopus.com/inward/record.url?scp=85063094540&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063094540&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2018.8646391
DO - 10.1109/GlobalSIP.2018.8646391
M3 - Conference contribution
AN - SCOPUS:85063094540
T3 - 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings
SP - 444
EP - 448
BT - 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 26 November 2018 through 29 November 2018
ER -