Multimodal Fusion for Robust Driver Drowsiness Detection: Integrating EEG and Video Signals with Enhanced Accuracy
Author:
Affiliation:
1. St. Joseph’s College of Engineering,Department of CSE,Chennai,Tamil Nadu
2. B.S. Abdur Rahman Crescent Institute of Science and Technology,Department of CSE,Chennai,Tamil Nadu
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10601631/10601667/10601871.pdf?arnumber=10601871
Reference11 articles.
1. Drowsy driver detection and monitoring system using support vector machine;Bassi;ATBU Journal of Science, Technology & Education,2020
2. Real-Time System for Monitoring Driver Vigilance
3. IoT-Based Smart Alert System for Drowsy Driver Detection
4. Real-Time Warning System for Driver Drowsiness Detection Using Visual Information
5. Real Time Driver Drowsiness Detection Based on Driver’s Face Image Behavior Using a System of Human Computer Interaction Implemented in a Smartphone
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