State of the art and practice in AI in education
Abstract Recent developments in Artificial Intelligence (AI) have generated great
expectations for the future impact of AI in education and learning (AIED). Often these …
expectations for the future impact of AI in education and learning (AIED). Often these …
Advance machine learning methods for dyslexia biomarker detection: A review of implementation details and challenges
Dyslexia is a neurological disorder that is characterized by imprecise comprehension of
words and generally poor reading performance. It affects a significant population of school …
words and generally poor reading performance. It affects a significant population of school …
Appearance-based gaze estimation using attention and difference mechanism
P Biswas - Proceedings of the IEEE/CVF conference on …, 2021 - openaccess.thecvf.com
Appearance-based gaze estimation problem received wide attention over the past few
years. Even though model-based approaches existed earlier, availability of large datasets …
years. Even though model-based approaches existed earlier, availability of large datasets …
A survey on computer vision for assistive medical diagnosis from faces
Automatic medical diagnosis is an emerging center of interest in computer vision as it
provides unobtrusive objective information on a patient's condition. The face, as a mirror of …
provides unobtrusive objective information on a patient's condition. The face, as a mirror of …
[HTML][HTML] Detection of developmental dyslexia with machine learning using eye movement data
Dyslexia is a common neurocognitive learning disorder that can seriously hinder individuals'
aspirations if not detected and treated early. Instead of costly diagnostic assessment made …
aspirations if not detected and treated early. Instead of costly diagnostic assessment made …
Eye tracking based dyslexia detection using a holistic approach
B Nerušil, J Polec, J Škunda, J Kačur - Scientific Reports, 2021 - nature.com
A new detection method for cognitive impairments is presented utilizing an eye tracking
signals in a text reading test. This research enhances published articles that extract …
signals in a text reading test. This research enhances published articles that extract …
Deep learning applications for dyslexia prediction
ND Alqahtani, B Alzahrani, MS Ramzan - Applied Sciences, 2023 - mdpi.com
Dyslexia is a neurological problem that leads to obstacles and difficulties in the learning
process, especially in reading. Generally, people with dyslexia suffer from weak reading …
process, especially in reading. Generally, people with dyslexia suffer from weak reading …
Individuals with dyslexia use a different visual sampling strategy to read text
Individuals with dyslexia present with reading-related deficits including inaccurate and/or
less fluent word recognition and poor decoding abilities. Slow reading speed and worse text …
less fluent word recognition and poor decoding abilities. Slow reading speed and worse text …
A comprehensive review of machine learning approaches for dyslexia diagnosis
Electroencephalography (EEG) is the commonly employed electro-biological imaging
technique for diagnosing brain functioning. The EEG signals are used to determine head …
technique for diagnosing brain functioning. The EEG signals are used to determine head …
Artificial intelligence for pediatric ophthalmology
Artificial intelligence applications could significantly benefit clinical care by optimizing
disease detection and grading, broadening access to care, furthering scientific discovery …
disease detection and grading, broadening access to care, furthering scientific discovery …