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

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dc.contributor.author Patel, Miteshkumar en_US
dc.contributor.author Kavanagh, Diarmuid en_US
dc.contributor.author Rossiter, P. en_US
dc.contributor.author Lal, Sara en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T04:03:16Z
dc.date.available 2012-02-02T04:03:16Z
dc.date.issued 2011 en_US
dc.identifier 2010003938 en_US
dc.identifier.citation Patel Miteshkumar et al. 2011, 'Applying neural network analysis on heart rate variability data to assess driver fatigue', Expert Systems with Applications, vol. 38, no. 6, pp. 7235-7242. en_US
dc.identifier.issn 0957-4174 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/14481
dc.description.abstract 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. en_US
dc.language en_US
dc.publisher Expert Systems with Applications en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/j.eswa.2010.12.028 en_US
dc.title Applying neural network analysis on heart rate variability data to assess driver fatigue en_US
dc.parent Expert Systems with Applications en_US
dc.journal.volume 38 en_US
dc.journal.number 6 en_US
dc.publocation Netherlands en_US
dc.identifier.startpage 7235 en_US
dc.identifier.endpage 7242 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 010200 en_US
dc.personcode 10499604 en_US
dc.personcode 010322 en_US
dc.personcode 104938 en_US
dc.personcode 0000069131 en_US
dc.percentage 100 en_US
dc.classification.name Applied Mathematics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Heart rate variability, Neural network, Driver fatigue, Spectral analysis en_US
dc.staffid en_US


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