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Cluster Computing
Erschienen in: Cluster Computing 4/2019

19.01.2018

Non-contact detection of human heart rate with Kinect

verfasst von: Liqian Zhou, Ming Yin, Xi Xu, Xinpan Yuan, Xiaojun Liu

Erschienen in: Cluster Computing | Sonderheft 4/2019

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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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Metadaten
Titel
Non-contact detection of human heart rate with Kinect
verfasst von
Liqian Zhou
Ming Yin
Xi Xu
Xinpan Yuan
Xiaojun Liu
Publikationsdatum
19.01.2018
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe Sonderheft 4/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-1716-z

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