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2019 International Conference on Computing, Electronics & Communications Engineering (iCCECE)
Advanced Driving Assistance Systems (ADAS) has been a critical component in vehicles and vital to the safety of vehicle drivers and public road transportation systems. In this paper, we present a deep learning technique that classifies drivers' distraction behaviour using three contextual awareness parameters: speed, manoeuver and event type. Using a video coding taxonomy, we study drivers' distractions based on events information from Regions of Interest (RoI) such as hand gestures, facialdoi:10.1109/iccece46942.2019.8941966 fatcat:5vjzlznxwrfrpllebhjndlbr4m