Machine Learning and Gradient Statistics Based Real-Time Driver Drowsiness Detection

Author:

Lin Cyun-Yi,Chang Paul,Wang Alan,Fan Chih-Peng

Publisher

IEEE

Reference5 articles.

1. Accurate eye center localisation by means of gradients;timm;International Conference on Computer Vision Theory and Applications,2011

2. Near-Infrared-Ray and Side-View Video Based Drowsy Driver Detection System: Whether or Not Wearing Glasses;li;2016 IEEE Asia Pacific Conf Circuits Syst,2016

3. Intelligent video-based drowsy driver detection system under various illuminations and embedded software implementation

4. Driver Fatigue Detection: A Survey

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1. Drowsiness Detection Using Convolutional Neural Networks;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

2. A Review of Technologies and their Application in Driver Drowsiness Detection Systems;2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS);2023-03-23

3. Automated Real Time Wakefulness State Observation of Driver based on Machine Learning;2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS);2023-02-24

4. Real-Time Drowsiness Detection System Using Machine Learning;Communications in Computer and Information Science;2023

5. Significance, Techniques, and Challenges in Driver Drowsiness Issue: A Guide Tour;2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2022-10-13

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