期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 38, 期 6, 页码 7235-7242出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2010.12.028
关键词
Heart rate variability; Neural network; Driver fatigue; Spectral analysis
类别
资金
- Australian Research Council [LP0562407]
- Australian Research Council [LP0562407] Funding Source: Australian Research Council
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 conditions. The neural network gave an accuracy of 90%. This HRV based fatigue detection technique can be used as a fatigue countermeasure. (C) 2010 Elsevier Ltd. All rights reserved.
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