Design of DroDeASys (Drowsy Detection and Alarming System)

Author:

Juvale Hrishikesh B.,Mahajan Anant S.,Bhagwat Ashwin A.,Badiger Vishal T.,Bhutkar Ganesh D.,Dhabe Priyadarshan S.,Dhore Manikrao L.

Publisher

Springer Netherlands

Reference4 articles.

1. Qing Ji and Xiaojie Yang, “Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance,“ Real-Time Imaging, Vol. 8, pp. 357–377 (2002)

2. M. Yang, D. Kriegman, and N. Ahuja, “Detecting faces in Images: Survey,“ IEEE Trans. PAMI, Vol. 24, No. 1, pp. 34–58 (2002)

3. E. Hjelmas, “Face Detection: A Survey,“ Computer Vis. Image Understanding, 83, pp. 236–274 (2001)

4. Estimation of Face Direction Using Near-Infrared Camera Takuya Akashi, Hironori Nagayama, Minoru Fukumi, and Norio Akamatsu University of Tokushima

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1. Significance, Techniques, and Challenges in Driver Drowsiness Issue: A Guide Tour;2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2022-10-13

2. A Framework for Detecting Driver Drowsiness Based on Eye Blinking Rate and Hand Gripping Pressure;Proceedings of International Joint Conference on Computational Intelligence;2019-07-04

3. Driver head pose estimation using efficient descriptor fusion;EURASIP Journal on Image and Video Processing;2016-01-09

4. Driver’s Fatigue and Drowsiness Detection to Reduce Traffic Accidents on Road;Computer Analysis of Images and Patterns;2011

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