SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Driving Fatigue Feature Detection Method Based on Multifractal Theory
9 references·2 citing·41 second hop
A Driving Fatigue Feature Detection Method Based on Multifractal Theory (2022)A Driving Fatigue Feature Detection Metho…Working Memory in Children with Learning Disorders: An EEG Power Spectrum Analysis (2020)Working Memory in Children wi…Dynamic driver fatigue detection using hidden Markov model in real driving condition (2016)Dynamic driver fatigue detect…DETECTION OF DRIVING FATIGUE BY USING NONCONTACT EMG AND ECG SIGNALS MEASUREMENT SYSTEM (2013)DETECTION OF DRIVING FATIGUE …A driver fatigue recognition model based on information fusion and dynamic Bayesian network (2010)A driver fatigue recognition …Impaired alertness and performance driving home from the night shift: a driving simulator study (2005)Impaired alertness and perfor…Multifractal detrended fluctuation analysis of nonstationary time series (2002)Multifractal detrended fluctu…Detecting long-range correlations with detrended fluctuation analysis (2001)Detecting long-range correlat…The impact of work practices on fatigue in long distance truck drivers (1996)The impact of work practices …Fractional Brownian Motions, Fractional Noises and Applications (1968)Fractional Brownian Motions, …EEG emotion recognition using EEG-SWTNS neural network through EEG spectral image (2024)EEG emotion recognition using…Bi-Branch Vision Transformer Network for EEG Emotion Recognition (2023)Bi-Branch Vision Transformer …Subjective and Objective Sleepiness in the Active Individual (1990)Sleep related vehicle accidents (1995)Driver sleepiness and risk of serious injury to car occupants: population based case control study (2002)Transport and industrial safety, how are they affected by sleepiness and sleep restriction? (2006)Driver fatigue and highway driving: A simulator study (2008)Predicting driver drowsiness using vehicle measures: Recent insights and future challenges (2009)A critical review of the psychophysiology of driver fatigue (2001)Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Fatigue, Sleepiness, and Performance in Simulated Versus Real Driving Conditions (2005)Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection (2020)Detection and analysis: driver state with electrocardiogram (ECG) (2020)Vision-Based Fatigue Driving Recognition Method Integrating Heart Rate and Facial Features (2020)Toward machine emotional intelligence: analysis of affective physiological state (2001)Drowsiness detection using heart rate variability (2016)Detection and prediction of driver drowsiness using artificial neural network models (2017)Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network (2017)The Typical Spectral Shape of an Economic Variable (1966)AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING (1980)THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS (1983)Empirical properties of asset returns: stylized facts and statistical issues (2001)Long-Term Storage: An Experimental Study. (1966)Effect of trends on detrended fluctuation analysis (2001)Effect of nonstationarities on detrended fluctuation analysis (2002)Quantification of Sleepiness: A New Approach (1973)Stress and Fatigue in Human Performance (1984)The use of psychophysiology to assess driver status (1993)The effects of caffeine on simulated driving, subjective alertness and sustained attention (2001)A controlled investigation into the psychological determinants of fatigue (2005)Driving Fatigue in Professional Drivers: A Survey of Truck and Taxi Drivers (2014)Moderate sleep deprivation produces impairments in cognitive and motor performance equivalent to legally prescribed levels of alcohol intoxication (2000)Using EEG spectral components to assess algorithms for detecting fatigue (2008)Automatic driver sleepiness detection using EEG, EOG and contextual information (2018)Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology (2019)Fatigue Monitoring Through Wearables: A State-of-the-Art Review (2021)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)Self-supervised group meiosis contrastive learning for EEG-based emotion recognition (2023)Multifractal detrended cross-correlation analysis for two nonstationary signals (2008)Introduction to Multifractal Detrended Fluctuation Analysis in Matlab (2012)Physical approach to complex systems (2012)
this work references cited by second hop

References

  • 1968Fractional Brownian Motions, Fractional Noises and Applications7,658 cited
  • 2002Multifractal detrended fluctuation analysis of nonstationary time series3,650 cited
  • 2001Detecting long-range correlations with detrended fluctuation analysis1,401 cited
  • 2010A driver fatigue recognition model based on information fusion and dynamic Bayesian network332 cited
  • 2005Impaired alertness and performance driving home from the night shift: a driving simulator study298 cited
  • 2016Dynamic driver fatigue detection using hidden Markov model in real driving condition228 cited
  • 1996The impact of work practices on fatigue in long distance truck drivers162 cited
  • 2013DETECTION OF DRIVING FATIGUE BY USING NONCONTACT EMG AND ECG SIGNALS MEASUREMENT SYSTEM131 cited
  • 2020Working Memory in Children with Learning Disorders: An EEG Power Spectrum Analysis30 cited

Cited by

  • 2024EEG emotion recognition using EEG-SWTNS neural network through EEG spectral image63 cited
  • 2023Bi-Branch Vision Transformer Network for EEG Emotion Recognition56 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work