Driver Safety Development: Real-Time Driver Drowsiness Detection System Based on Convolutional Neural Network
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42979-020-00306-9.pdf
Reference36 articles.
1. World Health Organization The top ten causes of death. [Online]. https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death
2. Yu J, Chen Z, Zhu Y, Chen YJ, Kong L, Li M. Fine-grained abnormal driving behaviors detection and identification with smartphones. IEEE Trans Mobile Comput. 2016;16(8):2198–212.
3. Budak U, Bajaj V, Akbulut Y, Atila O, Sengur A. An effective hybrid model for EEG-based drowsiness detection. IEEE Sens J. 2019;19(17):7624–31.
4. Ngxande M, Tapamo JR, Burke M. Driver drowsiness detection using behavioral measures and machine learning techniques :a review of state-of-art techniques. In: 2017 Pattern recognition association of South Africa and robotics and mechatronics. 2017;pp. 156-161.
5. Sahayadhas A, Sundaraj K, Murugappan M. Detecting driver drowsiness based on sensors: a review. Sensors. 2012;12(12):16937–53.
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