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Non-contact detection of human heart rate with Kinect

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Abstract

Non-contact detection of heart rate has been addressed by researchers from very different fields. However, the low accuracy of measuring results in the difficulties in methodology deployment. This paper introduces the principle of heartbeat detection. A detection scheme by using Kinect is proposed. Further, the signal processing approach based on JADE algorithm is developed to efficiently remove the clutter in mixture signals, and it enables accurate transforming via Z-score normalization. Due to the significances presented in this work, the detection error is 1.79%, when processed with the proposed algorithm. Experimental results are statistically analyzed, which makes it a promising basis for the realization of heart rate detection.

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Acknowledgements

Financial support was provided by National Natural Science Foundation of China (61402165), Hunan Provincial Natural Science Foundation of China (2016JJ5036 and 2015JJ3058), Key Scientific Research Fund of Hunan Provincial Education Department in China (17A052), and Aid program for Science and Technology Innovative Research Team in High Educational Institutions of Hunan Province.

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Authors and Affiliations

  1. School of Computer, Hunan University of Technology, Zhuzhou, 412007, China

    Liqian Zhou, Ming Yin, Xi Xu, Xinpan Yuan & Xiaojun Liu

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  1. Liqian Zhou
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  2. Ming Yin
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  3. Xi Xu
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  4. Xinpan Yuan
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  5. Xiaojun Liu
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Correspondence to Liqian Zhou.

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Zhou, L., Yin, M., Xu, X. et al. Non-contact detection of human heart rate with Kinect. Cluster Comput 22 (Suppl 4), 8199–8206 (2019). https://doi.org/10.1007/s10586-018-1716-z

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  • DOI: https://doi.org/10.1007/s10586-018-1716-z

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