System Development & Application
|
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.

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