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AI-Based Multimodal Framework for Real-Time Driver Drowsiness Detection and Automated Safety Response
AI-Based Multimodal Framework for Real-Time Driver Drowsiness Detection and Automated Safety Response
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Author:
Albakri, Lilia
Format:
Recurso digital
Published:
Zenodo
2026
Subjects:
Driver Drowsiness Detection
Eye Aspect Ratio
Facial Landmark Detection
Convolutional Neural Network
Real-Time Detection
Computer Vision
Road Safety
Driver Monitoring System
MobileNet
PERCLOS
Yawning Detection
Steering Wheel Angle (SWA)
Multimodal Sensor Fusion
Automated Safety Response
Online Access:
Acceder al recurso
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https://doi.org/10.5281/zenodo.20029486
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