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Study on Real-Time Heart Rate Detection Based on Multi-People

Qiuyu Hu1, Wu Zeng1,*, Yi Sheng1, Jian Xu1, Weihua Ou2, Ruochen Tan3

1 School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan, 430000, China
2 School of Electronic and Information Engineering, Guizhou Normal University, Guizhou, 550000, China
3 Interactive Media and Computer Science, University of Miami, Miami, 33124, Florida, USA

* Corresponding Author: Wu Zeng. Email: email

Computer Systems Science and Engineering 2023, 44(2), 1397-1408. https://doi.org/10.32604/csse.2023.027980

Abstract

Heart rate is an important vital characteristic which indicates physical and mental health status. Typically heart rate measurement instruments require direct contact with the skin which is time-consuming and costly. Therefore, the study of non-contact heart rate measurement methods is of great importance. Based on the principles of photoelectric volumetric tracing, we use a computer device and camera to capture facial images, accurately detect face regions, and to detect multiple facial images using a multi-target tracking algorithm. Then after the regional segmentation of the facial image, the signal acquisition of the region of interest is further resolved. Finally, frequency detection of the collected Photoplethysmography (PPG) and Electrocardiography (ECG) signals is completed with peak detection, Fourier analysis, and a Wavelet filter. The experimental results show that the subject’s heart rate can be detected quickly and accurately even when monitoring multiple facial targets simultaneously.

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APA Style
Hu, Q., Zeng, W., Sheng, Y., Xu, J., Ou, W. et al. (2023). Study on real-time heart rate detection based on multi-people. Computer Systems Science and Engineering, 44(2), 1397-1408. https://doi.org/10.32604/csse.2023.027980
Vancouver Style
Hu Q, Zeng W, Sheng Y, Xu J, Ou W, Tan R. Study on real-time heart rate detection based on multi-people. Comput Syst Sci Eng. 2023;44(2):1397-1408 https://doi.org/10.32604/csse.2023.027980
IEEE Style
Q. Hu, W. Zeng, Y. Sheng, J. Xu, W. Ou, and R. Tan "Study on Real-Time Heart Rate Detection Based on Multi-People," Comput. Syst. Sci. Eng., vol. 44, no. 2, pp. 1397-1408. 2023. https://doi.org/10.32604/csse.2023.027980



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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