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Methodology and Mobile Application for Driver Behavior Analysis and Accident Prevention
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DOI：10.1109/TITS.2019.2918328.png)
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Abstract
En 中文
This paper presents a methodology and mobile application for driver monitoring, analysis, and recommendations based on detected unsafe driving behavior for accident prevention using a personal smartphone. For the driver behavior monitoring, the smartphone's cameras and built-in sensors (accelerometer, gyroscope, GPS, and microphone) are used. A developed methodology includes dangerous state classification, dangerous state detection, and a reference model. The methodology supports the following driver's online dangerous states: distraction and drowsiness as well as an offline dangerous state related to a high pulse rate. We implemented the system for Android smartphones and evaluated it with ten volunteers.
Keywords:
Vehicles
Sensors
Smart phones
Cameras
Mobile applications
Monitoring
Safety
Driver behavior
smartphone
computer application
context awareness
intelligent system
mobile application
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