Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Comparison of Different Features and Classifiers for Driver Fatigue Detection Based on a Single EEG Channel
Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System
Driver Fatigue Detection Based on Eye Tracking
Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions
Monitoring of Micro-sleep and Sleepiness for the Drivers Using EEG Signal
Real time and non-intrusive driver fatigue monitoring
EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions
Driver drowsiness detection using the in-ear EEG.
Driver Fatigue Detection Based on Eye State Recognition
Detecting driver drowsiness using feature-level fusion and user-specific classification
Fully automated real time fatigue detection of drivers through Fuzzy Expert Systems
EEG-based drowsiness estimation for safety driving using independent component analysis
Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State
EEG-based estimation of mental fatigue by using KPCA-HMM and complexity parameters
A method of driving fatigue detection based on eye location
Real-time nonintrusive monitoring and prediction of driver fatigue
Detection of fatigue of vehicular driver using skin conductance and oximetry pulse: a neural network approach
Effective Estimation of Driver Drowsiness Based on Eye Status Detection and Analysis
Applying neural network analysis on heart rate variability data to assess driver fatigue
Driver Fatigue Detection: A Survey
Selective Transfer Learning for EEG-Based Drowsiness Detection
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles
deriving the dea frontier for two - stage processes .
Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
Automarking: Automatic Assessment of Open Questions
Osteoporosis in rheumatoid arthritis and ankylosing spondylitis.