Abstract:
Driver’s distraction has been listed as the
leading contributing factor to traffic accidents for the past
decades. This paper focuses on developing an approach to
detect distraction real time by analyzing driver’s visual feature
from the face region. The proposed approach uses visual
features such as movement of eye and head to extract critical
information to detect driver attention states and to classify it as
either attentive or distracted. Deviation of eye center and head
from their standard position for a period of time is considered
to be useful cues for detecting lack of attention in this
approach. At first face detection is performed after which
region of interest (ROI) - eye and head region, are extracted
using facial landmarks and lastly, head and eye movements are
detected to classify attention state. To evaluate the system
performance, we conducted an experiment in a real driving
environment with subjects having different characteristics.
Our system achieved on average 92% accuracy in detecting
attention state for all tested scenarios.
