Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Estimation of drivers' drowsiness level using a Neural Network Based ‘Error Correcting Output Coding’ method
EEG-based drowsiness estimation for safety driving using independent component analysis
Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System
Toward Drowsiness Detection Using Non-hair-Bearing EEG-Based Brain-Computer Interfaces
a novel approach to solve drowsy driver problem by using eye - localization technique using cht .
Driver drowsiness detection using face expression recognition
Drowsy Driving Detection Based on the Driver's Head Movement using Infrared Sensors
Real time drowsiness detection using eye blink monitoring
A method of driving fatigue detection based on eye location
Smartwatch-Based Wearable EEG System for Driver Drowsiness Detection
Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
Design and Implementation of Driver Drowsiness and Alcohol Intoxication DetectionUsing Raspberry PI
Driver Fatigue Detection: A Survey
Drowsiness detection using heart rate variability
Drowsiness Detection Based on Eyelid Movement
Mobile Healthcare for Automatic Driving Sleep-Onset Detection Using Wavelet-Based EEG and Respiration Signals
Driver Fatigue Detection Based on Eye Tracking
Yawning Detection for Monitoring Driver Fatigue
Combined EEG-Gyroscope-tDCS Brain Machine Interface System for Early Management of Driver Drowsiness
Recognizing driver inattention by convolutional neural networks
Driver Sleepiness Detection System Based on Eye Movements Variables
Integrated FSO/PON for Broadband Access Networks: A Comprehensive Protocol Stack Design and Analysis
Optimization of energy-constrained wireless powered communication networks with heterogeneous nodes
Lapses in alertness: coherence of fluctuations in performance and EEG spectrum.
Improving HPC Application Performance in Cloud through Dynamic Load Balancing
A Fully Integrated Ka-Band Front End for 5G Transceiver