AIMC Topic: Eye-Tracking Technology
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Predicting Basketball Shot Outcome From Visuomotor Control Data Using Explainable Machine Learning.
Journal of sport & exercise psychology
Sep 6, 2024
Quiet eye (QE), the visual fixation on a target before initiation of a critical action, is associated with improved performance. While QE is trainable, it is unclear whether QE can directly predict performance, which has implications for training int...
Auxiliary diagnostic method of Parkinson's disease based on eye movement analysis in a virtual reality environment.
Neuroscience letters
Sep 2, 2024
Eye movement dysfunction is one of the non-motor symptoms of Parkinson's disease (PD). An accurate analysis method for eye movement is an effective way to gain a deeper understanding of the nervous system function of PD patients. However, currently, ...
AI can see you: Machiavellianism and extraversion are reflected in eye-movements.
PloS one
Aug 28, 2024
INTRODUCTION: Recent studies showed an association between personality traits and individual patterns of visual behaviour in laboratory and other settings. The current study extends previous research by measuring multiple personality traits in natura...
Empowering High-Level Spinal Cord Injury Patients in Daily Tasks With a Hybrid Gaze and FEMG-Controlled Assistive Robotic System.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 20, 2024
Individuals with high-level spinal cord injuries often face significant challenges in performing essential daily tasks due to their motor impairments. Consequently, the development of reliable, hands-free human-computer interfaces (HCI) for assistive...
Primate eye tracking with carbon-nanotube-paper-composite based capacitive sensors and machine learning algorithms.
Journal of neuroscience methods
Aug 14, 2024
BACKGROUND: Accurate real-time eye tracking is crucial in oculomotor system research. While the scleral search coil system is the gold standard, its implantation procedure and bulkiness pose challenges. Camera-based systems are affected by ambient li...
User Evaluation of a Shared Robot Control System Combining BCI and Eye Tracking in a Portable Augmented Reality User Interface.
Sensors (Basel, Switzerland)
Aug 14, 2024
This study evaluates an innovative control approach to assistive robotics by integrating brain-computer interface (BCI) technology and eye tracking into a shared control system for a mobile augmented reality user interface. Aimed at enhancing the aut...
Development of an eye-tracking system based on a deep learning model to assess executive function in patients with mental illnesses.
Scientific reports
Aug 6, 2024
Patients with mental illnesses, particularly psychosis and obsessive‒compulsive disorder (OCD), frequently exhibit deficits in executive function and visuospatial memory. Traditional assessments, such as the Rey‒Osterrieth Complex Figure Test (RCFT),...
Classification of subtask types and skill levels in robot-assisted surgery using EEG, eye-tracking, and machine learning.
Surgical endoscopy
Jul 22, 2024
BACKGROUND: Objective and standardized evaluation of surgical skills in robot-assisted surgery (RAS) holds critical importance for both surgical education and patient safety. This study introduces machine learning (ML) techniques using features deriv...
Using Pupil Diameter for Psychological Resilience Assessment in Medical Students Based on SVM and SHAP Model.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Effectively assessing psychological resilience for medical students is vital for identifying at-risk individuals and developing tailored interventions. At present, few studies have combined physiological indexes of the human body and machine learning...
Eye-tracker and fNIRS: Using neuroscientific tools to assess the learning experience during children's educational robotics activities.
Trends in neuroscience and education
Jun 27, 2024
In technology education, there has been a paradigmatic shift towards student-centered approaches such as learning by doing, constructionism, and experiential learning. Educational robotics allows students to experiment with building and interacting w...
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