Artificial Intelligence for Monitoring Vehicle Driver Behavior "Facial Expression Recognition"

Abdelhak Khadraoui, Elmoukhtar Zemmouri

2021

Abstract

Advanced Driver Assistance Systems (ADAS) are the first step towards autonomous vehicles. They include systems and technologies designed to make more accessible the driver’s attitude to prevent accidents and prevent an accident. My thesis project fits into this context. The objective is to design and develop an intelligent, and active safety system capable of detecting the driver's state and alerting in real-time, in case of fatigue, stress, drowsiness (half-sleep), or gestures likely to disturb his attention while driving. We are particularly interested in the recognition of the driver's facial expressions to detect the states of fatigue, stress, or drowsiness. The system will then monitor the driver in real-time and send him personalized alerts and notifications asking him, for example, to stop for a coffee break, to change the music or the temperature inside the car.

Paper Citation

in Harvard Style

Khadraoui A. and Zemmouri E. (2021). Artificial Intelligence for Monitoring Vehicle Driver Behavior "Facial Expression Recognition". In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 279-284. DOI: 10.5220/0010732500003101

in Bibtex Style

@conference{bml21,
author={Abdelhak Khadraoui and Elmoukhtar Zemmouri},
title={Artificial Intelligence for Monitoring Vehicle Driver Behavior "Facial Expression Recognition"},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={279-284},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010732500003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - Artificial Intelligence for Monitoring Vehicle Driver Behavior "Facial Expression Recognition"
SN - 978-989-758-559-3
AU - Khadraoui A.
AU - Zemmouri E.
PY - 2021
SP - 279
EP - 284
DO - 10.5220/0010732500003101