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 …
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 …
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 …
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 …
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 …
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 …
Detecting readers with dyslexia using machine learning with eye tracking measures
L Rello, M Ballesteros - Proceedings of the 12th international web for all …, 2015 - dl.acm.org
Worldwide, around 10% of the population has dyslexia, a specific learning disorder. Most of
previous eye tracking experiments with people with and without dyslexia have found …
previous eye tracking experiments with people with and without dyslexia have found …
[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 …
An ensemble-based machine learning technique for dyslexia detection during a visual continuous performance task
Background Dyslexia is a neurological disorder which affects the learning of individuals
suffering from it, especially children. It causes reading and writing difficulties, leading to …
suffering from it, especially children. It causes reading and writing difficulties, leading to …
Towards the Intervention of Dyslexia: a Complex Concept of Dyslexia Intervention System using Eye-Tracking
N Dostálová, P Pátková Daňsová, S Ježek… - Proceedings of the …, 2024 - dl.acm.org
Dyslexia is a specific learning disability characterized by difficulties in decoding words and
reading, which harms the reading process. A large amount of information is delivered in a …
reading, which harms the reading process. A large amount of information is delivered in a …