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Research on Non-contact Heart Rate Detection Algorithm

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Machine Learning and Intelligent Communications (MLICOM 2017)

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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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Authors and Affiliations

  1. Communication Research Center, Harbin Institute of Technology, Harbin, China

    Chenguang He, Yuwei Cui & Shouming Wei

  2. Key Laboratory of Police Wireless Digital Communication, Ministry of Public Security, People’s Republic of China, Harbin, China

    Chenguang He & Shouming Wei

Authors
  1. Chenguang He
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  2. Yuwei Cui
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  3. Shouming Wei
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Corresponding author

Correspondence to Chenguang He .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Xuemai Gu

  2. Harbin Institute of Technology, Weihai, Heilongjiang, China

    Gongliang Liu

  3. Shandong University, Weihai, Heilongjiang, China

    Bo Li

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73446-0

  • Online ISBN: 978-3-319-73447-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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