Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Abstract: Driver Drowsiness Detection (D3) is a challenging task as it requires analysis based on various behavioral and physiological signs such as health issues, mental stress, and exhaustion. Data ...

A real-time Driver Drowsiness Detection System built using Python, OpenCV, MediaPipe, and Django. The system monitors the driver's eyes through a webcam and detects drowsiness based on eye movement ...

Abstract: This work deals with the fabrication and validation of an innovative wearable single-channel electroencephalogram (EEG) system, designed for real-time monitoring of specific brain activity.

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

Peter earned a Bachelor of Archeology and Creative Writing from the University of Alabama and has since joined his love of driving and riding with storytelling. His voice is full of southern ...

Every year, thousands of lives are lost due to drowsy driving, with research suggesting that nearly 40% of highway accidents are caused by drivers dozing off at the wheel. But what if technology could ...

Fatigued drivers are one of the most common hazards on the road, but sleepy-heads on commercial wheels are to get AI-assisted safety prompts courtesy of biometric-tracking technology. The tech ...

Negligence of public transport drivers due to drowsiness poses risks not only to their own lives but also to the lives of passengers. The designed journey tracker system alerts the drivers and ...