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A multi-feature fusion algorithm for driver fatigue detection based on a lightweight convolutional neural network

Published Online: 2023-06-28

Published Print: 2024-04

Authors

Cheng, Wangfeng

Wang, Xuanyao https://orcid.org/0000-0002-7216-9089
Mao, Bangguo
Funding

Funding for this research was provided by:

Anhui Provincial Natural Science Foundation under Grant (1908085ME159)

Scientific Research Activities of Post-Doctoral Researchers in Anhui Province (2020B447)

Environmentally Friendly Materials and Occupational Health Research Institute, Anhui University of Science and Technology (ALW2021YF05)

Anhui University of Science and Technology Postgraduate Innovation Fund Project (2022CX2068)
License Information

Text and Data Mining valid from 2023-06-28

Version of Record valid from 2023-06-28
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Article History

Accepted: 26 May 2023

First Online: 28 June 2023

Declarations

:

: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

: This work is original and our paper has not been submitted to any other journals. The results are presented clearly, honestly and without fabrication, falsification, or inappropriate data manipulation (including image-based manipulation). We adhere to discipline-specific rules for acquiring, selecting, and processing data.

: Not applicable.

: All authors agreed with the content and gave explicit consent to publish the paper.

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