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On the target area tracking method for heart rate measurement using deep learning strategy
Author(s): Jiancheng Zou; Sai Zhang; Bailin Ge
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Paper Abstract

Heart rate monitoring is important for diagnosis and prevention of physiological diseases. The method of measuring heart rate by infrared sequence image has high accuracy. But shaking is a factor to affect the measurement result. Even if a slight shaking will create a big measurement error. In this paper, we propose an automatic capture algorithm of heart rate measurement through the real-time tracking and capturing of the face monitoring area, so the disturbance caused by human body shaking is overcome. Compared with the traditional method1 , the measurement accuracy of the tests with shaking is improved about 6% higher based on our algorithm.

Paper Details

Date Published: 14 August 2019
PDF: 8 pages
Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111793E (14 August 2019); doi: 10.1117/12.2539746
Show Author Affiliations
Jiancheng Zou, North China Univ. of Technology (China)
Sai Zhang, North China Univ. of Technology (China)
Bailin Ge, North China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 11179:
Eleventh International Conference on Digital Image Processing (ICDIP 2019)
Jenq-Neng Hwang; Xudong Jiang, Editor(s)

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