[HTML][HTML] Accessible dyslexia detection with real-time reading feedback through robust interpretable eye-tracking features

I Vajs, T Papić, V Ković, AM Savić, MM Janković - Brain Sciences, 2023 - mdpi.com
Developing reliable, quantifiable, and accessible metrics for dyslexia diagnosis and tracking
represents an important goal, considering the widespread nature of dyslexia and its …

[HTML][HTML] What Can Eye Movements Tell Us about Reading in a Second Language: A Scoping Review of the Literature

JF Quiñonez-Beltran, TM Seymour, RAJ Robbins… - Education …, 2024 - mdpi.com
There is a growing interest in the similarities and differences in reading processes in L1 and
L2. Some researchers propose that reading shares commonalities across languages, while …

Eye-tracking image encoding: Autoencoders for the crossing of language boundaries in developmental dyslexia detection

IA Vajs, GS Kvaščev, TM Papić, MM Janković - IEEE Access, 2023 - ieeexplore.ieee.org
The negative influence of developmental dyslexia on academic performance is a well-
documented and researched topic. Although the research focused on developmental …

[HTML][HTML] Improvement of self-esteem in children with specific learning disorders after donkey-assisted therapy

F Corallo, L Bonanno, D Cardile, F Luvarà, S Giliberto… - Children, 2023 - mdpi.com
Dyslexia is a learning disorder related to receptive language characterized by difficulties
with decoding, fluent word recognition, automatic naming skills and/or reading …

Predicting information usefulness in health information identification from modal behaviors

J Chen, L Zhang, Q Lu, H Liu, S Chen - Information Processing & …, 2023 - Elsevier
Finding useful health information should be the highest priority when identifying health
information. Predicting information usefulness will significantly improve the effectiveness …

[HTML][HTML] Vision-Based Eye Image Classification for Ophthalmic Measurement Systems

G Gibertoni, G Borghi, L Rovati - Sensors, 2022 - mdpi.com
The accuracy and the overall performances of ophthalmic instrumentation, where specific
analysis of eye images is involved, can be negatively influenced by invalid or incorrect …

[HTML][HTML] Identifying dyslexia in school pupils from eye movement and demographic data using artificial intelligence

S Shalileh, D Ignatov, A Lopukhina, O Dragoy - Plos one, 2023 - journals.plos.org
This paper represents our research results in the pursuit of the following objectives:(i) to
introduce a novel multi-sources data set to tackle the shortcomings of the previous data …

Deep learning-based detection of learning disorders on a large scale dataset of eye movement records

AE El Hmimdi, Z Kapoula, V Sainte Fare Garnot - BioMedInformatics, 2024 - mdpi.com
Early detection of dyslexia and learning disorders is vital for avoiding a learning disability, as
well as supporting dyslexic students by tailoring academic programs to their needs. Several …

[HTML][HTML] Deep learning-driven dyslexia detection model using multi-modality data

Y Alkhurayyif, ARW Sait - PeerJ Computer Science, 2024 - peerj.com
Background Dyslexia is a neurological disorder that affects an individual's language
processing abilities. Early care and intervention can help dyslexic individuals succeed …

[HTML][HTML] Developmental Dyslexia: Insights from EEG-Based Findings and Molecular Signatures—A Pilot Study

D Theodoridou, CO Tsiantis, AM Vlaikou, V Chondrou… - Brain Sciences, 2024 - mdpi.com
Developmental dyslexia (DD) is a learning disorder. Although risk genes have been
identified, environmental factors, and particularly stress arising from constant difficulties …