Analyzing Model Behavior for Driver Emotion Recognition and Drowsiness Detection Using Explainable Artificial Intelligence

Diego Caballero García-Alcaide, M. Paz Sesmero, José A. Iglesias, Araceli Sanchis

2025

Abstract

Traffic accidents, predominantly caused by human error, pose a significant public health threat globally. Despite technological advancements and regulatory measures, the decline in traffic-related fatalities has stagnated. This research addresses the critical need for advanced driver monitoring systems that can accurately detect fatigue and emotional states to mitigate risky driving behaviors. The core of this study lies in developing and evaluating deep learning models, specifically convolutional neural networks (CNN), augmented with explainable artificial intelligence (XAI), for the dual purpose of emotion recognition and drowsiness detection in drivers. By leveraging XAI, we delve into the decision-making processes of our models, offering unprecedented transparency and interpretability in their predictions. Our findings illuminate the intricate interplay between facial expressions and emotional states versus the subtle cues indicative of drowsiness, creating opportunities for more nuanced and effective driver monitoring systems. This work underscores the transfor-mative potential of XAI in fostering trust, refining model behavior, and propelling forward the development of advanced driver assistance systems (ADAS) aimed at enhancing roadway safety and reducing accidents.

Paper Citation

in Harvard Style

Caballero García-Alcaide D., Sesmero M., Iglesias J. and Sanchis A. (2025). Analyzing Model Behavior for Driver Emotion Recognition and Drowsiness Detection Using Explainable Artificial Intelligence. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-745-0, SciTePress, pages 334-341. DOI: 10.5220/0013204400003941

in Bibtex Style

@conference{vehits25,
author={Diego Caballero García-Alcaide and M. Sesmero and José Iglesias and Araceli Sanchis},
title={Analyzing Model Behavior for Driver Emotion Recognition and Drowsiness Detection Using Explainable Artificial Intelligence},
booktitle={Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2025},
pages={334-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013204400003941},
isbn={978-989-758-745-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - Analyzing Model Behavior for Driver Emotion Recognition and Drowsiness Detection Using Explainable Artificial Intelligence
SN - 978-989-758-745-0
AU - Caballero García-Alcaide D.
AU - Sesmero M.
AU - Iglesias J.
AU - Sanchis A.
PY - 2025
SP - 334
EP - 341
DO - 10.5220/0013204400003941
PB - SciTePress