IEEE Spectrum on MSN

These hearing aids will tune in to your brain

Today’s hearing aids aren’t great at determining which sounds to amplify and which to ignore, and this often leaves users ...
Frontiers

Diagnosing autism spectrum disorder based on eye tracking technology using deep learning models

Introduction: Children with Autism Spectrum Disorder (ASD) often find it difficult to maintain eye contact, which is vital for social communication. Eye tracking (ET) technology helps determine how ...
IEEE

Classification of Cognitive Load Using Deep Learning Based on Eye Movement Indices

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...
IEEE

Eye Disease Prediction and Monitoring Solution Using Deep Learning Algorithms

Abstract: Artificial intelligence and medical imaging are developing at a rapid rate, creating new opportunities for automated diagnosis of eye diseases. This can greatly improve treatment outcomes ...
Forbes

Revolutionizing Eye Tracking With Event-Based Sensing

The Integrated Visual Augmentation System (IVAS) was a $22B project awarded to Microsoft in 2018 to develop Augmented Reality (AR) headsets for the US Army. As part of the funding, Microsoft was on ...
Science Daily

Researchers use deep learning to predict flooding this hurricane season

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...
Scientific Research Publishing

Lim, J.Z., Mountstephens, J. and Teo, J. (2022) Eye-Tracking Feature Extraction for Biometric Machine Learning. Frontiers in Neurorobotics, 15, Article ID: 796895.

ABSTRACT: In recent years, a considerable amount of scientific research has been conducted on eye tracking, distance/online learning and machine learning. However, there is no comprehensive ...