Cognitive, Language, Learning Disabilities & Low Literacy

Ordinary non-clinical photographs are used to model face dysmorphisms for reducing the search space of patients with developmental disorders. Images of people with various developmental disorders were collected from internet, along with patients without these disorders.

The study used web serach engine queries and usage patterns to ascertain the chance that a user has a neurogenerative disorder. Microsoft bing search queries were collected

The work investigates the language ability of patients with probable Alzheimer's disease. Conversations were collected as they pronounced the Cookie Theft picture description from The Boston Diagnostic Aphasia Examination.

A machine learning classifier to automatically detect motor impariment in patients with Parkinson's disease is constructed using a dataset collected by recording touchscreen keystrokes in the wild. Subjects from four countries across EU contributed pseudo-anonymised multimodal data remotely on keyboard interactions and keystroke dynamics through the app install on their smartphone. The characters typed were not captured to have the process privacy-aware.

This dataset is collected to enhance research into speech recognition systems for dysarthic speech. Participants read a variety of words, like digits, letters, computer commands, common words, and uncommon words from porject Gutenberg novels.

This dataset is collected to enhance research into speech recognition systems for dysarthic speech. It consists of 19275 isolated‐word utterances of speakers with dysarthria due to cerebral palsy. Participants read the TI-46 word list and Grandfather word list. It is created in an effort to provide a standard collection of speech which may be used internationally for the development of recognition technology and in studies of speech perception or articulation.

This work aims to understand a linguistic component to stuttering and investigate an experimental method for assessing the linguistic abilities of children with specifically language-impaired and children who stutter. Audio files contain the pariticpants' responses to non-word repetition tasks used as measures for children's linguistic abilities found to be correlated with vocabulary and reading skills.

This dataset is part of the project Plasticity of Language in Epilepsy Research and used to compare the language skills of two groups of children with epilepsy—those with recent onset seizures and those with more chronic seizure activity. Participanst were asked to perform standardized IQ and language testing and produce narratives to accompany the book Frog, Where Are You? (1969) for analysis of syntax, vocabulary and narrative components.

This dataset is part of a project titled "Linguistic Processing in Specific Language Delay” and used to identify late talkers at risk for language disorders in order to provide them with earlier language intervention. Language sample collection was performed at the yearly assessment visits at different ages, and studies have examined lexical, morphological, and discourse processing.

This work aims to capture participants’ experience of stuttering to buid a new instrument (OASES) for measuring the overall impact of stuttering. Each participant completed a reading task and an interview to learn more about the behaviors and affective/cognitive features of living with cluttering.