Author:
Lee Kyong Hee,Kim Whui,Choi Hyun Kyun,Tae Jang Byung
Cited by
13 articles.
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1. Driver fatigue detection method based on temporal–spatial adaptive networks and adaptive temporal fusion module;Computers and Electrical Engineering;2024-10
2. An Image Processing Approach to Enhance Driver Distraction and Drowsiness Detection Algorithm;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01
3. Voice Assistant for Driver Drowsiness Detection;Springer Proceedings in Mathematics & Statistics;2024
4. A Comparative Study on Procedural and Predictive Systems on Drowsiness Detection;2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech);2023-12-18
5. Drowsiness Detection Using Convolutional Neural Networks;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01