A Driver Fatigue Detection Framework with Convolutional Neural Network and Long Short-Term Memory Network

Author:

Bao RuyiORCID,Hameed NaziaORCID,Walker AdamORCID

Publisher

Springer Nature Switzerland

Reference20 articles.

1. 1885–1886. The first automobile (2022). https://group.mercedes-benz.com/company/tradition/company-history/1885-1886.html?source=post

2. Asleep at the wheel: a nation of drowsy drivers (2022). https://www.nhtsa.gov/sites/nhtsa.gov/files/documents/12723-drowsydrivingasleepatthewheel031917v4btag.pdf

3. Automobile industry introduction (2022). https://www.plunkettresearch.com/trends-analysis/automobile-industry-introduction/

4. Abtahi, S., Omidyeganeh, M., Shirmohammadi, S., Hariri, B.: YawDD: yawning detection dataset (2020). https://doi.org/10.21227/e1qm-hb90

5. Chauhan, R., Ghanshala, K.K., Joshi, R.: Convolutional neural network (CNN) for image detection and recognition. In: 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC), pp. 278–282 (2018). https://doi.org/10.1109/ICSCCC.2018.8703316

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