@article{ITST2012,
author = "Jim{\'e}nez, Pedro and Bergasa, Luis M. and Nuevo, Jes{\'u}s and Hern{\'a}ndez, Noelia and Garc{\'i}a, Iv{\'a}n",
abstract = "We present a method to monitor driver distraction based on a stereo camera to estimate the face pose and gaze of a driver in real time. A coarse eye direction is composed of face pose estimation to obtain the gaze and driver's fixation area in the scene, which is a parameter that gives much information about the distraction pattern of the driver. The system does not require any subject-specific calibration; it is robust to fast and wide head rotations and works under low-lighting conditions. The system provides some consistent statistics, which help psychologists to assess the driver distraction patterns under influence of different in-vehicle information systems (IVISs). These statistics are objective, as the drivers are not required to report their own distraction states. The proposed gaze fixation system has been tested on a set of challenging driving experiments directed by a team of psychologists in a naturalistic driving simulator. This simulator mimics conditions present in real driving, including weather changes, maneuvering, and distractions due to IVISs. Professional drivers participated in the tests.",
doi = "10.1109/TITS.2012.2187517",
issn = "1524-9050",
journal = "IEEE Transactions on Intelligent Transportation Systems",
keywords = "Distraction monitoring;driver;gaze fixation;inattention;in-vehicle information systems;naturalistic simulator;percent road center",
month = "march",
number = "3",
pages = "1167 - 1178",
title = "{G}aze {F}ixation {S}ystem for the {E}valuation of {D}river {D}istractions {I}nduced by {IVIS}",
url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6165366",
volume = "13",
year = "2012",
}