Title :
Detecting Driver Distraction Using Smartphones
Author :
Paruchuri, Vamsi ; Kumar, Aravind
Author_Institution :
Dept. of Comput. Sci., Univ. of Central Arkansas, Conway, AR, USA
Abstract :
Cell phone usage while driving is a major distraction. Due to the number of accidents that are related to cell phone use while driving, laws have been introduced making the use of a cell phone while driving illegal in several jurisdictions. In this paper, we address a fundamental problem of distinguishing the driver from passengers using ubiquitous camera feature of cell phones to determine the position of the camera (hence, cell phone) in a vehicle. Compared with the state of-the-art solutions, a key property of our solution is non-intrusiveness, i.e., Enabling driver phone detection without relying on any particular situations, events, and dedicated hardware devices. Our system only utilizes the camera functionality of a smart phone. Images captured from a camera are compared with reference images by applying image registration methods, making a comparison. Through extensive experimental results and analysis, we demonstrate that our methodology can provide accurate localization of a smart phone, thus effectively distinguishing driver from passengers.
Keywords :
cameras; image registration; smart phones; ubiquitous computing; cell phone; driver distraction; driver phone detection; hardware devices; image registration; smart phone; smartphones; ubiquitous camera; vehicle; Cameras; Cellular phones; Feature extraction; Image registration; Sensors; Smart phones; Vehicles;
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2015 IEEE 29th International Conference on
Conference_Location :
Gwangiu
Print_ISBN :
978-1-4799-7904-2
DOI :
10.1109/AINA.2015.223