Eye Based Drowsiness Detection System for Driver

Author:

Purnamasari Prima DewiORCID,Kriswoyo Arie,Ratna Anak Agung Putri,Sudiana Dodi

Funder

Ministry of Higher Education and Research

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Reference18 articles.

1. Statistics Indonesia (Badan Pusat Statistik), “Number of Accidents, Death Victims, Severe Injuries, Minor Injuries, and Loss of Material Suffered in 1992–2017 (Jumlah Kecelakaan, Korban Mati, Luka Berat, Luka Ringan, dan Kerugian Materi yang Diderita Tahun 1992–2017),” 2019. [Online]. Available: https://www.bps.go.id/linkTableDinamis/view/id/1134. [Accessed: 27 Mar 2019].

2. National Highway Traffic Safety Administration, “NHTSA Drowsy Driving Research and Program Plan,” (2016)

3. National Sleep Foundation, “Drowsy Driving Prevention Week,” (2006)

4. Teyeb I, Jemai O, Zaied M, Ben Amar C (2014) A novel approach for drowsy driver detection using head posture estimation and eyes recognition system based on wavelet network. In: IISA 2014—5th International Conference on Information, Intelligence, Systems and Applications, pp. 379–384

5. Garg R, Gupta V, Agrawal V (2009) A drowsy driver detection and security system. In: 2009 International Conference on Ultra Modern Telecommunications and Workshops, pp 1–8

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