MELD3: Integrating Multi-Task Ensemble Learning for Driver Distraction Detection
Detecting and alerting distracted drivers is crucial to prevent traffic accidents. Although
numerous studies have been proposed that use deep learning methods to detect driver …
numerous studies have been proposed that use deep learning methods to detect driver …
Internet of things assisted deep learning enabled driver drowsiness monitoring and alert system using CNN-LSTM framework
Driver fatigue has been generally viewed as a critical road safety factor and has been cited
for contributing to a good percentage of traffic accidents. Develo** systems to monitor and …
for contributing to a good percentage of traffic accidents. Develo** systems to monitor and …
Enhancing Road Safety: Analyzing Driver Behavior Through AI-Driven Monitoring Techniques
SS Kumar, KRN Vignesh… - 2024 9th International …, 2024 - ieeexplore.ieee.org
This study aims to address the significant threat of safe driving in terms of the characteristics
of drivers, including anger, attention, fatigue, and drowsiness. In an increasingly intelligent …
of drivers, including anger, attention, fatigue, and drowsiness. In an increasingly intelligent …
AI-Driven Wearables for Driver Health and Safety
This preliminary research presents a novel driver health monitoring system that aims to
prevent accidents by utilizing wearable devices and artificial intelligence. The system …
prevent accidents by utilizing wearable devices and artificial intelligence. The system …