Deep Learning-Based Real-Time Driver Cognitive Distraction Detection

Deep Learning-Based Real-Time Driver Cognitive Distraction Detection

Driver distraction is one of the main causes of traffic accidents. While there are different types of distraction (manual, visual, cognitive), cognitive distraction is particularly challenging, being only partially related to visual features detectable through cameras or an eye tracker system. Moreo...

Full description

Saved in:
Bibliographic Details
Main Authors: Matteo Fresta, Francesco Bellotti, Igor Bochenko, Luca Lazzaroni, Gaetan Merlhiot, Fabio Tango, Riccardo Berta
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
driver cognitive distraction detection
embedded deployment
eye-tracker
physiological signals
SHAP analysis
Online Access:https://ieeexplore.ieee.org/document/10876120/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10876120/

Similar Items