Volume 11 - Issue 4
Real-Time Non-Intrusive Driver Fatigue Detection System using Belief Rule-Based Expert System
- Mohammad Arfizurrahman
International Islamic University Chittagong Chittagong, Bangladesh
arfizrahman0@gmail.com
- Ahmad
International Islamic University Chittagong Chittagong, Bangladesh
ahmadcse0@gmail.com
- Mohammad Shahadat Hossain
University of Chittagong Chittagong, Bangladesh
hossain ms@cu.ac.bd
- Mohammad Ahsanul Haque
Radio Analyzer Aalborg, Denmark
iamahsanul@gmail.com
- Karl Andersson
Lulea University of Technology Skelleftea, Sweden
karl.andersson@ltu.se
Keywords: Belief Rule Base, Driver Fatigue, Fatigue Detection, Expert System, Uncertainty
Abstract
This paper presents a non-intrusive system for detecting driver fatigue in real-time. To determine the
level of fatigue the system uses various visual features, namely head nodding, eye closure duration
and yawning. A state-of-the-art facial landmark detector ’IntraFace’ has been adopted to determine
the eye state, mouth state and head pose estimation. However, different forms of uncertainties such
as vagueness, imprecision, ambiguity and incompleteness are involved in calculating these visual
parameters. Therefore, a Belief Rule-Based Expert System (BRBES) is employed, which has the
ability to handle the uncertainties. The information of the visual parameters is sent to BRBES as
input to determine the level of fatigue. An optimal learning model has been developed to improve
the performance and accuracy of the BRBES. A comparison between the system and the fuzzy rulebased
expert system has been carried out. The system generates more effective and reliable results
than the fuzzy rule-based expert system.