A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition

Fasanmade, Adebamigbe; He, Ying; Al-Bayatti, Ali H.; Morden, Jarrad; Aliyu, Suleiman Onimisi; Alfakeeh, Ahmed S.; Alsayed, Alhuseen Omar · 2020 · OpenAlex

DOI: 10.1109/access.2020.2994811

archive: indexed pipeline: cataloged

Abstract

This work addresses detecting and classifying driver distractions using fuzzy logic and dynamic Bayesian models. The methodology analyzes video frames from the AUC Distraction Dataset, incorporating facial orientation, activities, and hand positions. A fuzzy system categorizes distraction severity into safe, careless, or dangerous driving levels.

Access

Route: gold_oa

Publisher: IEEE

Topics

• visual
• visual_manual