Driver’s Behavior Analysis with Smartphone Front Camera
Abstract
Introduction: From time to time people drive while being tired or drowsy and, according to experts, many drivers fail to recognize that they are in a fatigue state. Monitoring dangerous driving behavior can help drivers pay attention to their driving style and the associated risks, thereby reducing the occurrences of careless driving and improving the safe driving skills. Advanced driver assistance systems are becoming popular nowadays. They can help drivers avoid road accidents, producing a warning signal by light or sound. Purpose: The goal was to develop a conceptual model for analyzing a driver’s behavior using a front-facing camera. Results: A conceptual model has been developed for recognizing a dangerous behavior of a driver using the front-facing camera of a smartphone. An algorithm for determining the visual cues of driver’s drowsiness and distraction is presented. An ontological model has been developed which detects the driver’s dangerous behavior. Processing the video stream from a front-facing camera and a variety of onboard smartphone sensors, the application attempts to recognize the driver’s behavior accurately, anticipating dangerous events caused by drowsiness or tiredness and producing an immediate alert with audible or visual signals. Practical relevance: The proposed mobile application can recognize unsafe behavior of a driver and give a warning about a possible emergency.Published
2017-08-21
How to Cite
Lashkov, I. (2017). Driver’s Behavior Analysis with Smartphone Front Camera. Information and Control Systems, (4), 7-17. https://doi.org/10.15217/issn1684-8853.2017.4.7
Issue
Section
Information processing and control