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 system using hybrid approach of convolutional neural network and bidirectional long short term memory (CNN_BILSTM)

9 references·1 citing·45 second hop

FromToDepth

this work references cited by second hop

References

2017Detection and prediction of driver drowsiness using artificial neural network models286 cited
2018Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG261 cited
2013Automated Detection of Driver Fatigue Based on Entropy and Complexity Measures215 cited
2014Detecting emotional stress from facial expressions for driving safety196 cited
2013Detecting driver drowsiness using feature-level fusion and user-specific classification162 cited
2011Drowsiness/alertness algorithm development and validation using synchronized EEG and cognitive performance to individualize a generalized model149 cited
2018Real Time Driver Drowsiness Detection Based on Driver’s Face Image Behavior Using a System of Human Computer Interaction Implemented in a Smartphone102 cited
2016Facial features monitoring for real time drowsiness detection81 cited
2018Convolutional Neural Network-Based Classification of Driver’s Emotion during Aggressive and Smooth Driving Using Multi-Modal Camera Sensors73 cited

Cited by

2023Facial Feature-Based Drowsiness Detection With Multi-Scale Convolutional Neural Network42 cited

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