JHPFA-Net: Joint Head Pose and Facial Action Network for Driver Yawning Detection Across Arbitrary Poses in Videos
Author:
Affiliation:
1. School of Control Science and Engineering, Shandong University, Jinan, China
Funder
National Natural Science Foundation of China
Shandong Provincial Key Research and Development Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10304348/10159554.pdf?arnumber=10159554
Reference54 articles.
1. EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation
2. Driver Fatigue Detection Systems: A Review
3. RF-DCM: Multi-Granularity Deep Convolutional Model Based on Feature Recalibration and Fusion for Driver Fatigue Detection
4. Potentialities of Vehicle Trajectory Big Data for Monitoring Potentially Fatigued Drivers and Explaining Vehicle Crashes on Motorway Sections
5. Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
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