Page 182 - Read Online

Li et al. Intell Robot 2024;4(3):230-43 I http://dx.doi.org/10.20517/ir.2024.15 Page 242

DECLARATIONS
Acknowledgment
I hereby declare that some of the results presented in this manuscript [Manuscript ID: (IR-2024-15)] are de-
rived from our previously published conference paper titled “A Fatigue Driving Recognition Method Based on
WOA-Attention-GRU” (DOI: 10.1109/RAIIC59453.2023.10281143). All co-authors of this manuscript have
been informed and agree to the submission and publication of this work. Additionally, we acknowledge the
conference paper within this new manuscript by appropriately citing it.

Authors’ contributions
Made substantial contributions to the conception and design of the study and performed data analysis and
interpretation: Li Z, Li M
Performed process guidance responsibility for the planning and execution of the study and the evolution of
overarching research aims, critical review, and material support; review and revise the original draft: Shi L, Li D

Availability of data and materials
Not applicable.

Financial support and sponsorship
TheNaturalScienceFoundationofChongqing(CSTB2023NSCQMSX0760,cstc2021ycjh-bfzxm0071,cstc2020jcyj-
msxmX0818), and the Science Technology Research Program of Chongqing Municipal Education Commis-
sion (KJZD-M202301502).

Conflicts of interest
LiZ is anEditorialBoardMember ofthejournal Intelligence&Robotics; ShiL is affiliated with QinglingMotors
Co. Ltd; while the other authors have declared that they have no conflicts of interest.

Ethical approval and consent to participate
Not applicable.

Consent for publication
Not applicable.

Copyright
© The Author(s) 2024.

REFERENCES
1. Jiang K, Ling F, Feng Z, Wang K, Shao C. Why do drivers continue driving while fatigued? An application of the theory of planned
behavior. Transport Res A Pol 2017;98:141–9. DOI
2. MacLean AW. Chapter 40 - Sleep and driving. In: Handbook of behavioral neuroscience. Elsevier; 2019. pp. 611–22. DOI
3. Ding L. Fatigue driving detection method based on steering wheel monitoring. Agric Mach Use Maint 2020:25. DOI
4. Al-Libawy H, Al-Ataby A, Al-Nuaimy W, Al-Taee MA. Modular design of fatigue detection in naturalistic driving environments. Accid
Anal Prev 2018;120:188–94. DOI
5. Luo H, Qiu T, Liu C, Huang P. Research on fatigue driving detection using forehead EEG based on adaptive multi-scale entropy. Biomed
Signal Process 2019;51:50-8. DOI
6. Wu C, Zhang H, Mao Z, Chu X, Yan X. A Model for Identifying Fatigue Status of Vehicle Drivers Based on Driving Operation China
Saf Sci J 2007;17:162–5. DOI
7. Forsman PM, Vila BJ, Short RA, Mott CG, Van Dongen HPA. Efficient driver drowsiness detection at moderate levels of drowsiness.
Accid Anal Prev 2013;50:341-50. DOI
8. Li Z, Li SE, Li R, Cheng B, Shi J. Online detection of driver fatigue using steering wheel angles for real driving conditions. Sensors
2017;17:495. DOI
9. Li Z, Li R, Li S, Wang W, Cheng B. Driver fatigue recognition based on approximated entropy and complexity of steering wheel angle. J
Automot Safety Energy 2016;7:279–84. DOI