Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques

Author:

Jabbar Rateb,Al-Khalifa Khalifa,Kharbeche Mohamed,Alhajyaseen Wael,Jafari Mohsen,Jiang Shan

Publisher

Elsevier BV

Subject

General Engineering

Reference22 articles.

1. Drowsy Driving NHTSA reports. (2018, January 08). Retrieved from https://www.nhtsa.gov/risky-driving/drowsy-driving.

2. Android Programming Concepts.;Cornez,2015

3. K. Fagerberg.Vehicle-based detection of inattentive driving for integration in an adaptive lane departure warning system Drowsiness detection, M.S. thesis, KTH Signals Sensors and Systems, Stockholm, Sweden, 2004.

4. Steering wheel behavior based estimation of fatigue;Krajewski;The fifth international driving symposium on human factors in driver assessment, training and vehicle design,2009

5. Driver Alert Control (DAC). (2018, January 08). Retrieved from http://support.volvocars.com/uk/cars/Pages/owners-manual.aspx?mc=Y555&my=2015&sw=14w20&article=2e82f6fc0d1139c2c0a801e800329d4e.

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