Applying neural network analysis on heart rate variability data to assess driver fatigue

@article{Patel2011ApplyingNN,
  title={Applying neural network analysis on heart rate variability data to assess driver fatigue},
  author={M. Patel and Sara Lal and Diarmuid Kavanagh and Peter Rossiter},
  journal={Expert Syst. Appl.},
  year={2011},
  volume={38},
  pages={7235-7242}
}
Long duration driving is a significant cause of fatigue related accidents on motorways. Fatigue caused by driving for extended hours can acutely impair driver’s alertness and performance. This papers presents an artificial intelligence based system which could detect early onset of fatigue in drivers using heart rate variability (HRV) as the human physiological measure. The detection performance of neural network was tested using a set of electrocardiogram (ECG) data recorded under laboratory… CONTINUE READING

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