A Passive Heart Rate Measurement Method Using Camera

被引：6

作者：

Cai, Kai ^{[1
]}

Chen, Jianxin ^{[1
]}

Zhang, Lujia ^{[1
]}

Lin, Qingyu ^{[1
]}

Ji, Hui ^{[1
]}

机构：

[1] Nanjing Univ Posts & Telecommun, Minist Educ, Key Lab Broadband Wireless Commun & Sensor Networ, Nanjing, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON COMPUTING AND PATTERN RECOGNITION (ICCPR 2018) | 2018年

关键词：

Heart Rate Measurement; Euler Video Magnification; Independent Component Analysis; Non-confront;

D O I：

10.1145/3232829.3232841

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Heart rate is one of the most important Physiological characteristics related to the health. Recently, the non-contact heart rate measurement has got more attentions. However, these methods only focused on the active measurement. In this paper, we study the non-contact measurement of HR in a passive way which extends its further use into the smart home or e-health. In this system, a RGB camera is used to capture the video images about the objective. For these captured images, we strengthen the color from the captured images with an EVM algorithm, and use KCF algorithm to locate the chosen RoI. After that, the ICA algorithm is utilized to extract the effective signal, and the heart rate is obtained by an ideal band pass filter with the fast Fourier transform. Experimental results showed that our system can measure the heart rate effectively.

引用

页码：68 / 72

页数：5

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