Driver gaze zone estimation (DGZE) is essential for detecting the driver's state and taking
over rule-making in intelligent driving systems. However, convolutional neural network …

Human-machine co-driving is an important stage in the development of automatic driving,
and accurate recognition of driver behavior is the basis for realizing human-machine co …

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 …

Eighty percent of traffic accidents are caused by human error, called hypo vigilance,
stemming from drowsiness, stress, or distraction while driving. This poses a significant threat …

This empirical study presents an embedded system for real-time driving monitoring. This
proposal is based on three convolutional deep learning neural models that allow detecting …

Mobile learning media has been wide and provides a tendency for lecturers to identify
students' concentration levels in online classes. To bring the class into active learning …

Monitoring the driver's attention is an important task to maintain the driver's safety. The
estimation of the driver's gaze direction can help us to evaluate if the drivers are not focusing …

AbstractsIn the domain of smart car technology, driver gesture recognition models often
struggle to balance efficiency with accuracy, and typically require extensive computational …