Deep learning neural network for driver drowsiness detection using eyes recognition
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Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0120633
Reference25 articles.
1. Nighttime Driving Safety Improvement via Image Enhancement for Driver Face Detection
2. A Survey on State-of-the-Art Drowsiness Detection Techniques
3. Deep learning
4. J. J. Yan, H. H. Kuo, Y. F. Lin, and T. L. Liao, “Real-time driver drowsiness detection system based on PERCLOS and grayscale image processing,” Proc. - 2016 IEEE Int. Symp. Comput. Consum. Control. IS3C 2016, pp. 243–246 (2016).
5. G. Niu and C. Wang, “Driver fatigue features extraction,” Math. Probl. Eng., Vol. 2014 (2014).
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. ECG-Based Real-Time Drivers’ Fatigue Detection Using a Novel Elastic Dry Electrode;IEEE Transactions on Instrumentation and Measurement;2024
2. Novel Transfer Learning Approach for Driver Drowsiness Detection Using Eye Movement Behavior;IEEE Access;2024
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