Safety Driving - Emotions Detection

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dc.contributor.authorM.Abdul Rehman Khan
dc.contributor.authorFahad Zafar
dc.contributor.authorTahir Khalil
dc.contributor.authorAli Ammar
dc.date.accessioned2019-01-04T10:42:36Z
dc.date.available2019-01-04T10:42:36Z
dc.date.issued2016
dc.descriptionSyed Farooq Alien_US
dc.description.abstractMost of the accidents happen due to distraction of driver. Distraction of driver depends upon different aspects that mostly consist of talking/chatting with others while driving, evading road safety and signs, the mood or actions of driver is not good, if the driver is angry, fatigued, excited, listening loud sound of music, not in good condition of physical health, worried, etc. All these aspects result in the interruption of a driver's focus. We propose approaches that detect anger, fatigue and normal person's expression using the facial points. These facial points are spotted by BoRMaN (Boosted Regression with Markov Networks). The detected facial expression in different frames are then tested and trained via Neural Networks which tells that driver is distracted or not.en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/3525
dc.language.isoenen_US
dc.publisherUniversity of Management & Technologyen_US
dc.subjectBoosted Regression, Markov Networks, Digital Single Lens Reflex Cameraen_US
dc.subjectBSen_US
dc.titleSafety Driving - Emotions Detectionen_US
dc.titleSafety driving - emotions detectionen_us
dc.typeThesisen_US
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