Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Driver drowsiness detection based on non-intrusive metrics considering individual specifics

8 references·16 citing·47 second hop

FromToDepth

this work references cited by second hop

References

1990Subjective and Objective Sleepiness in the Active Individual3,088 cited
2010Applying neural network analysis on heart rate variability data to assess driver fatigue418 cited
2006Subjective sleepiness, simulated driving performance and blink duration: examining individual differences361 cited
2010A driver fatigue recognition model based on information fusion and dynamic Bayesian network332 cited
2008Driver drowsiness detection with eyelid related parameters by Support Vector Machine309 cited
2012Efficient driver drowsiness detection at moderate levels of drowsiness220 cited
1997Sleepiness and driving: The experience of U.K. car drivers183 cited
2003Fatigue and individual differences in monotonous simulated driving172 cited

Cited by

2018Automatic driver sleepiness detection using EEG, EOG and contextual information145 cited
2023Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review144 cited
2021Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network136 cited
2019A Real-time Driving Drowsiness Detection Algorithm With Individual Differences Consideration128 cited
2019Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection116 cited

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

2020

Real-Time System for Driver Fatigue Detection Based on a Recurrent Neuronal Network

112 cited

2016Head movement-based driver drowsiness detection: A review of state-of-art techniques100 cited

2022Driver distraction detection based on vehicle dynamics using naturalistic driving data95 cited

2021Using long short term memory and convolutional neural networks for driver drowsiness detection93 cited

2020Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures87 cited

2018Drowsiness monitoring based on steering wheel status83 cited

2019Driver Drowsiness Detection Using Multi-Channel Second Order Blind Identifications81 cited

2021A Novel Learning Model of Driver Fatigue Features Representation for Steering Wheel Angle80 cited

2023PERCLOS-based technologies for detecting drowsiness: current evidence and future directions80 cited

2023A systematic review on detection and prediction of driver drowsiness80 cited

2021Exploration of the effects of task-related fatigue on eye-motion features and its value in improving driver fatigue-related technology79 cited