Spatiotemporal eye-tracking feature set for improved recognition of dyslexic reading patterns in children
Considering the detrimental effects of dyslexia on academic performance and its common
occurrence, developing tools for dyslexia detection, monitoring, and treatment poses a task …
occurrence, developing tools for dyslexia detection, monitoring, and treatment poses a task …
Accessible dyslexia detection with real-time reading feedback through robust interpretable eye-tracking features
Developing reliable, quantifiable, and accessible metrics for dyslexia diagnosis and tracking
represents an important goal, considering the widespread nature of dyslexia and its …
represents an important goal, considering the widespread nature of dyslexia and its …
Dyslexia detection in children using eye tracking data based on VGG16 network
Considering the negative impact dyslexia has on school achievements, dyslexia diagnosis
and treatment are found to be of great importance. In this paper, a deep convolutional neural …
and treatment are found to be of great importance. In this paper, a deep convolutional neural …
[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 image encoding: Autoencoders for the crossing of language boundaries in developmental dyslexia detection
The negative influence of developmental dyslexia on academic performance is a well-
documented and researched topic. Although the research focused on developmental …
documented and researched topic. Although the research focused on developmental …
Dyslexml: Screening tool for dyslexia using machine learning
Eye movements during text reading can provide insights about reading disorders. Via eye-
trackers, we can measure when, where and how eyes move with relation to the words they …
trackers, we can measure when, where and how eyes move with relation to the words they …
Prediction of dyslexia severity levels from fixation and saccadic eye movement using machine learning
A JothiPrabha, R Bhargavi, BVD Rani - Biomedical Signal Processing and …, 2023 - Elsevier
Background Dyslexia is a neurological disorder that causes poor reading and
comprehension skills. Dyslexics experience problems in understanding phonemes of …
comprehension skills. Dyslexics experience problems in understanding phonemes of …
Assessment of dyslexic children with EOG signals: Determining retrieving words/re-reading and skipping lines using convolutional neural networks
F Latifoğlu, R İleri, E Demirci - Chaos, Solitons & Fractals, 2021 - Elsevier
This study aims to determine and classify the back to eye movement (retrieving words/re-
reading) and skipping lines while reading from electrooculography (EOG) signals. For this …
reading) and skipping lines while reading from electrooculography (EOG) signals. For this …
Dyslexia explorer: A screening system for learning difficulties in the arabic language using eye tracking
A Al-Edaily, A Al-Wabil, Y Al-Ohali - … 2013, Maribor, Slovenia, July 1-3 …, 2013 - Springer
Abstract Dyslexia is a Specific Learning Difficulty (SpLD) that affects an individual's ability to
process, store, and retrieve information. This consequently affects the educational …
process, store, and retrieve information. This consequently affects the educational …
Predictive model for dyslexia from fixations and saccadic eye movement events
AJ Prabha, R Bhargavi - Computer Methods and Programs in Biomedicine, 2020 - Elsevier
Background Dyslexia is a disorder characterized by difficulty in reading such as poor speech
and sound recognition. They have less capability to relate letters and form words and exhibit …
and sound recognition. They have less capability to relate letters and form words and exhibit …