Non-intrusive driver drowsiness detection based on face and eye tracking

• Main Authors: Bamidele, Ameen Aliu, Kamardin, Kamilia, Abd. Aziz, Nur Syazarin Natasha, Mohd. Sam, Suriani, Ahmed, Irfanuddin Shafi, Azizan, Azizul, Bani, Nurul Aini, Mad Kaidi, Hazilah
• Format: Article
• Published: Science and Information Organization 2019
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/88245/; http://dx.doi.org/10.14569/ijacsa.2019.0100775

The rate of annual road accidents attributed to drowsy driving are significantly high. Due to this, researchers have proposed several methods aimed at detecting drivers' drowsiness. These methods include subjective, physiological, behavioral, vehicle-based, and hybrid methods. However, recent r...