| dc.description.abstract | Dyslexia, or Reading Disorder, is a condition in which a person has difficulty reading and
writing without significant intellectual deficits and without associated visual or auditory
impairments. The severity of symptoms varies depending on cultural and personal factors.
Other possible symptoms include difficulty spelling words, slower reading aloud, and inability
to say words in the head. However, it is difficult to fully diagnose dyslexia because the person
must first demonstrate low academic achievement, and cultural deprivation is a form of
environmental learning that causes low achievement. Therefore, there is a need to provide a
fast and effective diagnostic aid and learning aid. With the rapid development of virtual reality,
eye-movement and machine learning, we build a virtual reading environment and compute
three feature sets, including eye-movement features, word vectors and saliency maps, from
the collected eye-movement physiological information. We also propose a fusion model that
integrates several machine learning models to assess dyslexia by evaluating relevant data, and
build a more objective automatic assessment model based on real data by using physiological
data obtained from users′ responses are able to provide a more effective system in
Methamphetamine treatment. | en_US |