about
Integration of Body Sensor Networks and Vehicular Ad-hoc Networks for Traffic SafetyDriver Distraction Using Visual-Based Sensors and AlgorithmsUsing a Smart City IoT to Incentivise and Target Shifts in Mobility Behaviour--Is It a Piece of Pie?Improving the Test-Retest Reliability of Resting State fMRI by Removing the Impact of Sleep.Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving ConditionsExploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS DataA Context-Aware EEG Headset System for Early Detection of Driver DrowsinessDetermination the Levels of Subjective and Observer Rating of Drowsiness and Their Associations with Facial Dynamic ChangesPresenting a model for dynamic facial expression changes in detecting drivers' drowsinessCorrelation between Driver Subjective Fatigue and Bus Lateral Position in a Driving Simulator.A Self-Adaptive Dynamic Recognition Model for Fatigue Driving Based on Multi-Source Information and Two Levels of FusionOptical flow and driver's kinematics analysis for state of alert sensing.Design of a Fatigue Detection System for High-Speed Trains Based on Driver Vigilance Using a Wireless Wearable EEG.A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and WearabilityEye blink detection for different driver states in conditionally automated driving and manual driving using EOG and a driver camera.Time-of-day variation in sustained attentional control.Automatic Detection of Driver Fatigue Using Driving Operation Information for Transportation Safety.Drowsiness detection during different times of day using multiple features.Measuring Mental Workload with EEG+fNIRS.Comparison of Different Features and Classifiers for Driver Fatigue Detection Based on a Single EEG Channel.Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system.Anti-Runaway Prevention System with Wireless Sensors for Intelligent Track Skates at Railway Stations.Blink: Characteristics, Controls, and Relation to Dry Eyes.EEG-Based Detection of Braking Intention Under Different Car Driving Conditions.Identifying the Causes of Drivers' Hazardous States Using Driver Characteristics, Vehicle Kinematics, and Physiological MeasurementsExpedition Cognition: A Review and Prospective of Subterranean Neuroscience With Spaceflight ApplicationsBlink Number Forecasting Based on Improved Bayesian Fusion Algorithm for Fatigue Driving DetectionWearable Modular Telemetry System for the Integrated Rescue System Operational UseA Method for Recognizing Fatigue Driving Based on Dempster-Shafer Theory and Fuzzy Neural Network
P2860
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P2860
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Detecting driver drowsiness based on sensors: a review.
@ast
Detecting driver drowsiness based on sensors: a review.
@en
type
label
Detecting driver drowsiness based on sensors: a review.
@ast
Detecting driver drowsiness based on sensors: a review.
@en
prefLabel
Detecting driver drowsiness based on sensors: a review.
@ast
Detecting driver drowsiness based on sensors: a review.
@en
P2860
P356
P1433
P1476
Detecting driver drowsiness based on sensors: a review
@en
P2093
Kenneth Sundaraj
P2860
P304
16937-16953
P356
10.3390/S121216937
P407
P577
2012-12-07T00:00:00Z