References
- M. A. Regan, J. D. Lee, and K. Young, Driver distraction: Theory, effects, and mitigation, CRC Press, 2008.
- National highway traffic safety administration traffic safety facts [Internet]. Available: https://www.nhtsa.gov/risky-driving/distracteddriving.
- C. Craye and F. Karray, Driver distraction detection and recognition using RGB-D sensor, 2015, [online] Available: https://arxiv.org/abs/1502.00250.
- R. A. Berri, A. G. Silva, R. S. Parpinelli, E. Girardi, and R. Arthur, "A pattern recognition system for detecting use of mobile phones while driving," International Conference on Computer Vision Theory and Applications (VISAPP), IEEE, vol. 2, pp. 411-418, 2014. DOI: 10.5220/0004684504110418.
- X. Zhang, N. Zheng, F. Wang, and Y. He, "Visual recognition of driver hand-held cell phone use based on hidden CRF," in Proceedings of IEEE International Conference on Vehicular Electronics and Safety, IEEE, pp. 248-251, 2011.
- C. Zhao, Y. Gao, J. He, and J. Lian, "Recognition of driving postures by multiwavelet transform and multilayer perceptron classifier," Engineering Applications of Artificial Intelligence, vol. 25, no. 8, pp. 1677-1686, 2012. DOI: 10.1016/j.engappai.2012.09.018.
- D. Wang, M. Pei, and L. Zhu, "Detecting driver use of mobile phone based on in-car camera," in IEEE Tenth International Conference on Computational Intelligence and Security, pp. 148-151, 2014.
- B. Baheti, S. Gajre, and S. Talbar, "Detection of distracted driver using convolutional neural network," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 1032-1038, 2018.
- T. H. N. Le, Y. Zheng, C. Zhu, K. Luu, and M. Savvides, "Multiple scale faster-rcnn approach to driver's cell-phone usage and hands on steering wheel detection," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 46-53, 2016.
- L. Shiwu, W. Linhong, Y. Zhifa, J. Bingkui, Q. Feiyan, and Y. Zhongkai, "An active driver fatigue identification technique using multiple physiological features," in IEEE International Conference on Mechatronic Science, Electric Engineering and Computer (MEC), pp. 733-737, 2011.
- B. F. Wu, Y. H. Chen, and C. H. Yeh, "Driving behaviour-based event data recorder," IET Intelligent Transport Systems, vol. 8, no. 4, pp. 361-367, 2013. https://doi.org/10.1049/iet-its.2013.0009
- N. S. Karuppusamy and B. Y. Kang, "Driver fatigue prediction using eeg for autonomous vehicle," Advanced Science Letters, vol. 23, no. 10, pp. 9561-9564, 2017. DOI: 10.1166/asl.2017.9747.
- C. Yan, "Vision-based Driver Behaviour Analysis," PhD thesis, University of Liverpool, 2016. [Internet] Available: https://core.ac.uk/reader/80777305.
- H. Kim, J. Kim, and H. Jung, "Convolutional Neural Network Based Image Processing System," Journal of Information and Communication Convergence Engineering, vol. 16, no. 3, pp. 160-165, 2018. DOI: 10.6109/jicce.2018.16.3.160
- V. H. Phung and E. J. Rhee, "A Deep Learning Approach for Classification of Cloud Image Patches on Small Datasets," Journal of Information and Communication Convergence Engineering, vol. 16, no. 3, pp. 173-178, 2018. DOI: 10.6109/jicce.2018.16.3.173
- GoPro Customer Support. [Internet], Available: https://gopro.com/help/hero5-black.
- A. Krizhevsky, I. Sutskever, and G.E. Hinton, "Imagenet classification with deep convolutional neural networks," Advances in neural information processing systems, pp. 1097-1105, 2012.
- C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, "Going deeper with convolutions," Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1-9, 2015.
- K. He, X. Zhang, S. Ren, and J. Sun, "Deep residual learning for image recognition," Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778, 2016.
- D.M. Powers, "Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation," Journal of Machine Learning Technologies, vol. 2, issue 1, pp. 37-63, 2011, [online] Available: http://www.bioinfo.in/contents.php?id=51