Awake Guard: An Arduino-Based Real-Time System for Enhancing Driver Safety Through Drowsiness Detection
Author:
Affiliation:
1. Saveetha Engineering College,Department of Electronics and Communication Engineering,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420829/10420849/10421104.pdf?arnumber=10421104
Reference20 articles.
1. A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG
2. Efficient and compact face descriptor for driver drowsiness detection
3. Drowsy and drunken drive control, automatic accident detection and rescue system using arduino;Anand;International Journal of Scientific Development and Research,2020
4. IoT-Based Smart Alert System for Drowsy Driver Detection
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