Smartphone apps are changing how we study everyday brain activity ...

Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers are identified. Using a single 3D deep learning model, researchers are ...

Abstract: The face, an essential part of the body, communicates a vast array of information. When a driver is fatigued, their facial expressions, along with the frequency of blinking and yawning, ...

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.

Introduction: Peripheral Artery Disease (PAD) is a progressive vascular disorder impairing mobility, raising fall risk, and reducing quality of life. Early detection is key to preventing amputations ...

ABSTRACT: 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 ...

AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...

Netradyne, a global leader in AI-driven fleet safety, today announced the launch of its flagship Driver•i D-450 video safety platform and the latest DMS Sensor in India. The four-camera D-450 system – ...