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14 August 2019 On the target area tracking method for heart rate measurement using deep learning strategy
Jiancheng Zou, Sai Zhang, Bailin Ge
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Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111793E (2019) https://doi.org/10.1117/12.2539746
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China
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.
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Jiancheng Zou, Sai Zhang, and Bailin Ge "On the target area tracking method for heart rate measurement using deep learning strategy", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111793E (14 August 2019); https://doi.org/10.1117/12.2539746
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KEYWORDS
Heart
Infrared imaging
Detection and tracking algorithms
Signal processing
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