AIMC Topic: Eye-Tracking Technology

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Exploring the Application of HoloLens Mixed Reality Combined with Eye Tracking and Visual Perception Technologies in Pediatric Orthopedic 3D Education.

Journal of medical systems
This narrative review evaluates the current status, potential value, key challenges, and future directions of Microsoft HoloLens 2 mixed reality (MR) technology, with a particular focus on its built-in eye tracking and visual perception functions, in...

Developing an AI-driven multimodal approach to visualising resilient team performance: joint attentional engagement with gaze and speech in simulated emergency scenarios.

BMJ open quality
INTRODUCTION: Healthcare team performance directly impacts the quality and safety of medical care. However, measuring the performance of teams is challenging and requires methodologies to investigate different contributing elements. This study propos...

Cognitive impairment assessment using eye-tracking: multilevel saccade paradigms with differential analysis and attention-based neural networks.

Physiological measurement
. The accurate assessment of cognitive impairment plays a vital role in more targeted treatments for Dementia. Eye movement analysis is a non-invasive and objective method that offers fine-grained insight into cognitive functioning, complementing con...

Exploring preparatory reading in bidirectional sight and written translation through clustering analysis of eye-tracking data.

PloS one
Preparatory reading-the phase between a translator's initial reading of the source text and the production of the first word of the target text-remains underexplored despite its crucial role in both sight (SiT) and written translation (WT). This stud...

Decoding target discriminability and time pressure using eye and head movement features in a foraging search task.

Cognitive research: principles and implications
In military operations, rapid and accurate decision-making is crucial, especially in visually complex and high-pressure environments. This study investigates how eye and head movement metrics can infer changes in search behavior during a naturalistic...

Smartphone eye-tracking with deep learning: Data quality and field testing.

Behavior research methods
Eye-tracking is widely used to measure human attention in research, commercial, and clinical applications. With the rapid advancements in artificial intelligence and mobile computing, deep learning algorithms for computer vision-based eye tracking ha...

Unraveling ADHD Through Eye-Tracking Procedures: A Scoping Review.

Journal of attention disorders
OBJECTIVE: This scoping review aimed to examine the application of eye-tracking technology in children with Attention-Deficit/Hyperactivity Disorder (ADHD), focusing on the scientific fields involved, methodologies employed, research goals, and outco...

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Efficient Foveated Rendering in Virtual Reality.

IEEE transactions on visualization and computer graphics
Leveraging real-time eye tracking, foveated rendering optimizes hardware efficiency and enhances visual quality virtual reality (VR). This approach leverages eye-tracking techniques to determine where the user is looking, allowing the system to rende...

A Multimodal Approach for Early Identification of Mild Cognitive Impairment and Alzheimer's Disease With Fusion Network Using Eye Movements and Speech.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Detecting Alzheimer's disease (AD) in its earliest stages, particularly during an onset of Mild Cognitive Impairment (MCI), remains challenging due to the overlap of initial symptoms with normal aging processes. Given that no cure exists and current ...

Classification of schizophrenia based on RAnet-ET: resnet based attention network for eye-tracking.

Journal of neural engineering
There is a notable need of quantifiable and objective methods for the classification of schizophrenia. Patients with schizophrenia exhibit atypical eye movements compared with healthy individuals. To address this need, we have developed a classificat...