Analysis and Implementation of Driver Drowsiness, Distraction, and Detection System

Author:

Patel Govind Singh,Patil Shubhada Chandrakant,Patil Akshata Adinath,Dahotre Rutuja Pravin,Patil Tejas Jitendra

Publisher

Springer Nature Switzerland

Reference16 articles.

1. Pauly, L., Sankar, D.: Detection of drowsiness based on HOG features and SVM classifiers. In: IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pp. 8–14 (2015)

2. Ihaddadene, N.: Drowsy driver detection system using eye blink patterns. machine and web intelligence(ICMWI). In: International Conference on IEE, pp. 20–25 (2010)

3. Zhang, W., Cheng, B., Lin, Y.: Driver drowsiness recognition based on computer vision technology. In: IEEE, pp. 67–70 (2012)

4. Sabet, M., Zoroofi, R.A., Sadeghniiat-Haghighi, K., Sabbaghian, M.: A new system for driver drowsiness and distraction detection. In: 11th IEEE Joint Conference on Information Science, pp. 120–125 (2012)

5. Sandberg, D.: conducted an analysis and optimization of systems for detecting sleepiness in drivers. Chalmers University in Goteborg, Sweden in, pp 80–87 (2018)

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