What if your smartwatch could tell when you were struggling emotionally and offer support before you even thought to ask?

A research team led by Prof. Seung Hwan Ko of Seoul National University College of Engineering's Department of Mechanical ...

The study of dental microwear allows the analysis of the microscopic marks that foods leave on the surface of tooth enamel ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

A new study isolates ten saliva biomarkers that objectively detect sleep deprivation, paving the way for roadside fatigue tests.

A deep learning-based real-time driver drowsiness detection and alert system using CNN-LSTM architecture. The model analyzes eye movements, mouth openness (yawning), and head pose to accurately ...

A few weeks ago, I shared how I built a real-time Driver Drowsiness Detection System using Deep Learning and Computer Vision. Since then, I've focused on making it closer to real-world deployment.

Every year, thousands of road accidents occur due to driver fatigue. What makes this especially dangerous is that drowsiness often develops gradually, and by the time the driver realizes it, reaction ...

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...

This study intends to bring onboard and execute a real-time drowsiness alert system using machine learning that will monitor the drivers' eye movement behaviours, thus, reducing the risk of road ...

Non-technical losses (NTL) in power distribution, such as illegal meter tapping, cause significant financial losses for utilities, amounting to billions annually. This study evaluates various machine ...

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 ...