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Evaluation of driver fatigue on two channels of EEG data
6 references·4 citing·48 second hop
Evaluation of driver fatigue on two channels of EEG data (2011)Evaluation of driver fatigue on two chann…Using EEG spectral components to assess algorithms for detecting fatigue (2008)Using EEG spectral components…Electroencephalographic study of drowsiness in simulated driving with sleep deprivation (2004)Electroencephalographic study…Correlation between driving errors and vigilance level: influence of the driver's age (2003)Correlation between driving e…A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine (2003)A comparison of PCA, KPCA and…Driver fatigue: Electroencephalography and psychological assessment (2002)Driver fatigue: Electroenceph…The integration and application of fuzzy and grey modeling methods (1996)The integration and applicati…Multimodal Features for Detection of Driver Stress and Fatigue: Review (2020)Multimodal Features for Detec…Driver Drowsiness Measurement Technologies: Current Research, Market Solutions, and Challenges (2019)Driver Drowsiness Measurement…Functional connectivity analysis using fNIRS in healthy subjects during prolonged simulated driving (2017)Functional connectivity analy…Investigating Driver Fatigue versus Alertness Using the Granger Causality Network (2015)Investigating Driver Fatigue …Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Measurement of Linear Dependence and Feedback Between Multiple Time Series (1982)Investigating Causal Relations by Econometric Models and Cross-Spectral Methods (2010)Brain Complex Network Characteristic Analysis of Fatigue during Simulated Driving Based on Electroencephalogram Signals (2019)Lightweight Driver Monitoring System Based on Multi-Task Mobilenets (2019)Dynamic Reorganization of Functional Connectivity Unmasks Fatigue Related Performance Declines in Simulated Driving (2020)Application of support vector machines in financial time series forecasting (2001)Combining nonlinear independent component analysis and neural network for the prediction of Asian stock market indexes (2011)Proximal support vector machine based hybrid prediction models for trend forecasting in financial markets (2016)A support vector machine for model selection in demand forecasting applications (2018)An overview of sleepiness and accidents (1995)A critical review of the psychophysiology of driver fatigue (2001)EEG signal analysis for the assessment and quantification of driver’s fatigue (2010)Regional brain wave activity changes associated with fatigue (2012)A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving (2019)Catastrophes, Sleep, and Public Policy: Consensus Report (1988)Subjective and Objective Sleepiness in the Active Individual (1990)Characteristics of crashes attributed to the driver having fallen asleep (1995)Measuring mental workload with the NASA-TLX needs to examine each dimension rather than relying on the global score: an example with driving (2017)Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review (2018)Intelligent In‐Vehicle Interaction Technologies (2021)Introduction to Grey system theory (1989)Grey relation analysis of carbon dioxide emissions from industrial production and energy uses in Taiwan (1999)Change-point analysis of hydrological time series using grey relational method (2005)Novel high-precision grey forecasting model (2007)Sleep related vehicle accidents (1995)Blinks and saccades as indicators of fatigue in sleepiness warnings: looking tired? 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References

  • 2008Using EEG spectral components to assess algorithms for detecting fatigue733 cited
  • 2003A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine588 cited
  • 2002Driver fatigue: Electroencephalography and psychological assessment533 cited
  • 2004Electroencephalographic study of drowsiness in simulated driving with sleep deprivation482 cited
  • 2003Correlation between driving errors and vigilance level: influence of the driver's age207 cited
  • 1996The integration and application of fuzzy and grey modeling methods118 cited

Cited by

  • 2019Driver Drowsiness Measurement Technologies: Current Research, Market Solutions, and Challenges132 cited
  • 2020Multimodal Features for Detection of Driver Stress and Fatigue: Review119 cited
  • 2015Investigating Driver Fatigue versus Alertness Using the Granger Causality Network87 cited
  • 2017Functional connectivity analysis using fNIRS in healthy subjects during prolonged simulated driving85 cited

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