Customise results display
Results 1-5 of 5 (Search time: 0.028 seconds).
|1-Dec-2007||Methodology and initial analysis results for development of non-invasive and hybrid driver drowsiness detection systems||Zilberg, E; Zheng, MX; Burton, D; Karrar, M; Lal, S|
|Jan-2009||Statistical validation of physiological indicators for non-invasive and hybrid driver drowsiness detection system||Zilberg, E; Xu, Z; Burton, D; Karrar, M; Lal, S|
|1-Dec-2011||Strengthening association between driver drowsiness and its physiological predictors by combining EEG with measures of body movement||Pritchett, S; Zilberg, E; Xu, ZM; Karrar, M; Lal, S; Burton, D|
|1-Dec-2011||Comparing accuracy of two algorithms for detecting driver drowsiness Single source (EEG) and hybrid (EEG and body movement)||Pritchett, S; Zilberg, E; Xu, ZM; Karrar, M; Burton, D; Lal, S|
|30-Oct-2018||Electroencephalography as a predictor of self-report fatigue/sleepiness during monotonous driving in train drivers||Lees, T; Chalmers, T; Burton, D; Zilberg, E; Penzel, T; Lal, S; Lal, S|