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Research on Driving Fatigue Alleviation Using Interesting Auditory Stimulation Based on VMD-MMSE.

Fuwang Wang1, Bin Lu1, Xiaogang Kang1

  • 1School of Mechanic Engineering, Northeast Electric Power University, Jilin 132012, China.

Entropy (Basel, Switzerland)
|September 28, 2021
PubMed
Summary

This study introduces a new method using variational mode decomposition and modified multi-scale entropy (VMD-MMSE) for accurate driving fatigue detection. Auditory stimulation effectively alleviates driver fatigue in real-time.

Keywords:
LSMMMSESQVMDdriving fatigue alleviationinteresting auditory stimulation

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Area of Science:

  • Neuroscience
  • Traffic Safety Engineering
  • Biomedical Signal Processing

Background:

  • Driving fatigue poses significant risks to traffic safety.
  • Accurate detection and effective alleviation of driving fatigue are critical research areas.
  • Traditional methods for fatigue detection and relief have limitations.

Purpose of the Study:

  • To develop and validate a novel approach for driving fatigue detection using electroencephalography (EEG) signals.
  • To investigate the efficacy of an interesting auditory stimulation method in alleviating driving fatigue.
  • To compare the performance of the proposed VMD-MMSE method with traditional sample entropy (SampEn).

Main Methods:

  • Electroencephalography (EEG) signals were decomposed using Variational Mode Decomposition (VMD) into intrinsic mode functions (IMFs).
  • Modified Multi-Scale Entropy (MMSE) features were extracted from selected IMFs using the least square method (LSM).
  • The VMD-MMSE features, combined with a subjective questionnaire (SQ), were used to analyze fatigue under normal and auditory stimulation driving modes.

Main Results:

  • The VMD-MMSE method demonstrated higher effectiveness in identifying driving fatigue characteristics compared to traditional Sample Entropy (SampEn).
  • Interesting auditory stimulation was found to significantly reduce driving fatigue.
  • The auditory stimulation method provided real-time fatigue relief during normal driving, outperforming methods like sleeping or coffee consumption.

Conclusions:

  • The VMD-MMSE approach offers a more effective method for detecting driving fatigue from EEG signals.
  • Interesting auditory stimulation is a practical and effective real-time intervention for alleviating driving fatigue.
  • This study highlights a promising non-pharmacological, non-interruptive strategy for enhancing driver safety.