Abstract
The heart rate is one of the important characteristic of human health. Fast and convenient heart rate measurement has become one aspect of daily life. The non-contact measurement method of heart rate gathers information of face via color video camera, analyzes the change of displacement of the surface of the skin and body color, then uses the methods such as filtering, spectrum analyze and peak detection to analysis the heart rate quantitatively. What’s more, we study a non-contact method to detect the implementation of the heart rate based on the video acquisition, image processing and signal processing technology. We have done a thorough study of the implementation framework of the non-contact measurement of heart rate.
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Acknowledgment
This work was supported by the National Science and Technology Major Specific Projects of China (Grant No. 2015ZX03004002-004) and the Fundamental Research Funds for the Central Universities (Grant No. HIT. NSRIF. 201616).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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He, C., Cui, Y., Wei, S. (2018). Research on Non-contact Heart Rate Detection Algorithm. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_35
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DOI: https://doi.org/10.1007/978-3-319-73447-7_35
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