Driver Drowsiness Detection Using Deep Learning
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-2008-9_7
Reference14 articles.
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2. Kepesiova, Z., Ciganek, J., Kozak, S.: Driver drowsiness detection using convolutional neural networks. In: 2020 Cybernetics & Informatics (K&I) (2020). https://doi.org/10.1109/ki48306.2020.9039851
3. You, F., Li, X., Gong, Y., Wang, H., Li, H.: A real-time driving drowsiness detection algorithm with individual differences consideration. IEEE Access 7, 179396–179408 (2019). https://doi.org/10.1109/access.2019.2958667
4. Mehta, S., Dadhich, S., Gumber, S., Bhatt, A.J.: Real-time driver drowsiness detection system using eye aspect ratio and eye closure ratio. SSRN Electron. J. (2019). https://doi.org/10.2139/ssrn.3356401
5. Sathasivam, S., Mahamad, A.K., Saon, S., Sidek, A., Som, M.M., Ameen, H.A.: Drowsiness detection system using eye aspect ratio technique. In 2020 IEEE Student Conference on Research and Development (SCOReD) (2020). https://doi.org/10.1109/scored50371.2020.9251035
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