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System Development & Application
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3390-3395

Contactless heart rate estimation model with multi-head self-attention mechanism

Zhang Xin
Yang Changqiang
Yin Ruonan
Wang Mengru
College of Computer Science & Engineering, Shandong University of Science & Technology, Qingdao Shandong 266590, China

Abstract

To achieve accurate and stable contactless heart rate estimation under lighting changes and head motion conditions, this paper proposed an end-to-end heart rate estimation model called rPPG-UNet, which was based on the U-Net model and incorporated a multi-head self-attention mechanism. The model realized the extraction and reconstruction of physiological features by using the U-shaped encoder-decoder network structure, and used Skip Connection to connect the encoder and decoder to realize the multiplexing of shallow temporal features. The model also incorporated a multi-head self-attention mechanism to capture the temporal dependencies of physiological features. Finally, the model adopted a multi-task learning strategy to improve the accuracy of heart rate estimation and accelerate network training. Experimental results on public datasets show that rPPG-UNet outperforms other baseline models and can achieve more accurate contactless heart rate estimation.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0175
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: System Development & Application
Pages: 3390-3395
Serial Number: 1001-3695(2022)11-030-3390-06

Publish History

[2022-06-18] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

张鑫, 杨长强, 殷若南, 等. 融合多头自注意力机制的无接触心率估计模型 [J]. 计算机应用研究, 2022, 39 (11): 3390-3395. (Zhang Xin, Yang Changqiang, Yin Ruonan, et al. Contactless heart rate estimation model with multi-head self-attention mechanism [J]. Application Research of Computers, 2022, 39 (11): 3390-3395. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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