Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

An offline, point-of-care algorithm on a smartphone fundus camera generated disease-specific outputs without cloud connectivity, addressing a major deployment barrier in low-resource screening ...

Imagine you're running and you sprain your ankle. The pain makes you gingerly limp the rest of the way home. This is a great ...

Affectiva Facial Coding SDK is the industry-leading solution for real-time facial expression analysis, enabling businesses, researchers, and developers to decode human emotions with precision.

Summary: Researchers established the first direct, non-invasive molecular tracking method to objectively measure sleep deprivation within human bodily fluids. P The research team tracked healthy adult ...

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 ...

Your car may soon know when you’re tipsy, stressed, or just mouthing words into the wind. From Ford’s lip-reading patent to radar systems that sense your mood and (of course) biometric driver ...

Guwahati, Apr 6 (360info): Brain activity can now be recorded outside laboratories using wearable devices and smartphones, opening up the possibility of monitoring dwindling attention levels, fatigue ...

A staggering average of 66 people die in auto accidents every day in Thailand. Many smashes involve fatigued and reckless drivers who speed along highways that are choked with motorbikes, cars, trucks ...

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 ...