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

Publication Type:
Journal Article
Expert Systems with Applications, 2011, 38 (6), pp. 7235 - 7242
Issue Date:
Filename Description Size
Thumbnail2010003938OK.pdf989.8 kB
Adobe PDF
Full metadata record
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. © 2010 Elsevier Ltd. All rights reserved.
Please use this identifier to cite or link to this item: