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Classification of a Driver's cognitive workload levels using artificial neural network on ECG signals

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References

2001A critical review of the psychophysiology of driver fatigue1,008 cited
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2009Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers394 cited
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2012Sensitivity of Physiological Measures for Detecting Systematic Variations in Cognitive Demand From a Working Memory Task298 cited
2014Classifying driver workload using physiological and driving performance data182 cited
2015Effects of mental workload on physiological and subjective responses during traffic density monitoring: A field study173 cited
2014Assessment of early onset of driver fatigue using multimodal fatigue measures in a static simulator

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134 cited

Cited by

2020Measurement and identification of mental workload during simulated computer tasks with multimodal methods and machine learning111 cited
2023Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion90 cited
2023Driver's mental workload classification using physiological, traffic flow and environmental factors79 cited
2021Recognition of driver’s mental workload based on physiological signals, a comparative study75 cited
2022Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021)70 cited
2022Effects of whole-body vibration on driver drowsiness: A review63 cited
2022Classification of Drivers’ Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals63 cited
2019Evaluation and prediction mental workload in user interface of maritime operations using eye response57 cited
2024Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey52 cited